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Events listing - SSA events

To have your event added to this list, please forward the event details, including url, to our Events Coordinator Jodi Phillips.

Upcoming events

    • 16 Nov 2023
    • (AEDT)
    • 31 Oct 2024
    • (AEDT)
    • Online-weekly one hour classes-this is 6 courses offered over the next year
    Register
    Expression of interest in survey and data science courses in 202324

     

    Due to the high demand for the Sampling Course in 2022 and strong interest in other courses from the International Program in Survey and Data Science (IPSDS) Masters program the Social Research Centre and Statistical Society of Australia have partnered again to expand IPSDS course offerings in Australia.

    The IPSDS is a program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland. It is directed by Prof. Frauke Kreuter, who is professor at the Ludwig Maximilian University of Munich.

    These course offerings are motivated back the lack of Australian equivalents.

    If you are interested in the Item Nonresponse, Sampling, Big Data/Machine Learning for Surveys and/or Weighting courses please register your interest so that we can determine whether there is sufficient demand. 

    The courses to be offered in 2023–24 are:

    Course

    Dates

    Instructor(s)

    Prerequisites

    Item Nonresponse and Imputation

    Jun–Jul 2023 (4 weeks)

    Prof Jörg Drechsler

    Familiarity with generalised linear models and basic knowledge of R

    Sampling I

    Oct–Nov 2023 (8 weeks)

    Dr Raphael Nishimura

    A sound background in applied statistics, proficiency in mathematics, including basic algebra

    Introduction to Big Data/‌Machine Learning I

    Jan–Feb 2024 (4 weeks)

    Prof Frauke Kreuter and Prof Trent D. Buskirk

    None, but undergrad statistics background, some familiarity with regression models assumed and familiarity with R recommended

    Sampling II

    Mar–Apr 2024 (4 weeks)

    Dr Raphael Nishimura

    Sampling I or equivalent; R skills helpful

    Step-by-Step in Survey Weighting

    Mar–Apr 2024 (4 weeks)

    Dr Anna-Carolina Haensch

    Sampling I or equivalent

    Machine Learning II

    Sep–Oct 2024 (8 weeks)

    Prof Christoph Kern and Prof Trent D. Buskirk

    Machine Learning I or equivalent and basic knowledge of R

    Basic R skills can be acquired from a SSA R workshop which will be offered before the Machine Learning course or online e.g. via DataCamp or equivalent.

    All courses are conducted over 4 or 8 weeks period (depending on the course) with weekly 1 hour online classes in addition to assignments and exam assessment at the end of the course. Participants should expect pre-recorded videos, readings and exercises to be completed outside of the weekly meetings consistent with a master’s course.

    Indicative cost per course is $1,500(ex-GST) per attendee, with $1,250(ex-GST) per attendee volume discount for organisations enrolling three or more.

    We are asking for expressions of interest in these courses to ensure there is sufficient demand for the courses to run. Please register your interest or contact events.statsoc@gmail.com with any questions.


    • 19 Mar 2024
    • 5:30 PM - 6:00 PM (AEDT)
    • Staff Tea Room, Peter Hall Building, The University of Melbourne OR CSIRO, 3-4 Castray Esplanade, Battery Point, Hobart OR online via Zoom
    Register

    Join us for the SSA Vic & Tas annual general meeting, where we will recap on our last year and vote in the new council for 2024. The annual report will be made available closer to the date of the AGM.

    Following the AGM we will be hearing from Helen Baird and Dr Fiona Manson on how the ABS develops standards. To find out more and register for the talk, visit the event page: https://statsoc.org.au/event-5621667

    To register for the AGM you must be signed in to your SSA member account.


    • 19 Mar 2024
    • 6:00 PM - 7:00 PM
    • Evan Williams Theatre, Peter Hall Building, The University of Melbourne OR CSIRO, 3-4 Castray Esplanade, Battery Point, Hobart OR online via Zoom
    Register

    Following the SSA Vic & Tas AGM we will hear from Helen Baird and Dr Fiona Manson on how the ABS goes about developing Standards.

    Abstract

    In this presentation, Helen and Fiona will discuss what statistical standards are in the ABS and why they are needed. They will share how ABS statistical standards are created and why they need to be maintained. Importantly, they will show where to find them on the ABS website, and how to get assistance with their use.

    Speakers

    Helen Baird, Director, Statistical Standards and Infrastructure and Dr Fiona Manson, Assistant Director, Social Standards Team

    Post-event social

    Following the conclusion of the talk we will head to a nearby restaurant where attendees of the event are welcome to join us at their own expense.

    • 20 Mar 2024
    • 6:00 PM - 7:00 PM (ACDT)
    • University of Adelaide, Braggs Building Seminar Room 2.14

    The South Australian Branch of the Statistical Society would like to invite you to the 2024 AGM.

    Date: Wednesday 20th March 2024

    Time: 5:30 – 7:00 pm (ACDT) (AGM commences at 6:00pm, to be preceded by refreshments and networking)

    Venue: The University of Adelaide, Braggs Building, Seminar Room 2.14.  See map   https://maps.app.goo.gl/YVgL6xiehwMgXKWn7. 

    Meeting will also be available via Zoom: https://adelaide.zoom.us/j/86873806751?pwd=OWt6K1JoOFpTVFRYYWM0QUFOemxzdz09 Password: 043521


    AGM Order of the Day: Election of Returning Officer, Branch officers, Council and Public Officer

    Please note: Only financial members of the Statistical Society will be eligible to vote in person, or by proxy.

    While a number of council members are willing to stand for office again, this is a first call for nominations for the positions of President, Vice-President, Secretary, Treasurer and Councillor positions assisting the following tasks related to both local and central SSAI activities:

    • Newsletter correspondent
    • Young Stats Career Event organiser(s)
    • Website Coordinator
    • Speaker Program manager

    Nominations are called for all positions and may be communicated to the Secretary, Gabriella Lincoln (gabriella.lincoln@adelaide.edu.au) before the meeting or may be made from the floor at the meeting.


    AGM Agenda

    1.        Apologies

    2.        Minutes of the 2023 Annual General Meeting

    3.        Annual Report for the year 2023

    4.        Election of Returning Officer, Branch Officers, Council and Public Officer

    5.        Treasurer's Report

    6.        Election of Auditor

    7.        Any other business

    8.        Two short presentations (details below)


    Program for evening

    5.30pm – Refreshments & Networking

    6.05pm – AGM Elections & President/Treasurer Report

    6.30pm - Presentations

    7.30 pm - Dinner


    Presentations

    There will be two short presentations at this meeting.

    • Selecting models for high-dimensional genomic data? Let’s talk about hypercubes! - Aline Kunnel
    • Designing and analysing partially clustered trials with continuous outcomes - Kylie Lange


    Selecting models for high-dimensional genomic data? Let’s talk about hypercubes!

    Gene expression data consists of a large number of genes and a small number of observations. Analysis of this type of data is quickly met with issues due to high dimensionality. This project uses a recently introduced method by Cox & Battey motivated by a hypercube geometry. This comprehensive method allows to select and assess sets of combinations of predictors and significantly reduces the time needed. In this talk, I will discuss our extension to the hypercube approach which accounts for strong correlation structures present in gene expression data. I will compare the predictive power of the extended hypercube approach and regularisation methods to real-world data.

    About Aline:

    Aline Kunnel is a biostatistician in the Biostatistics Unit at the South Australian Health and Medical Research Institute (SAHMRI). She is primarily involved in clinical trials, focusing on women's health during pregnancy and infant outcomes. In her role, Aline is a part of the statistical consulting team that offers statistical services to the Faculty of Health & Medical Science at the University of Adelaide, supporting the development and analysis of various research projects.


    Designing and analysing partially clustered trials with continuous outcomes

    Many clinical trials involve partially clustered data, where some observations belong to a cluster and others can be considered independent. For example, neonatal trials may include infants from single or multiple births. Sample size and analysis methods for these trials have received limited attention. I will present the results of a simulation study that aimed to assess (1) the performance of mixed models versus generalised estimating equations (GEEs) for analysis of partially clustered trials, and (2) whether existing sample size formulas based on GEEs provide appropriate power for analysis via mixed models.

    About Kylie:

    Kylie Lange is a biostatistician and PhD student from The University of Adelaide and SAHMRI, the South Australian Health and Medical Research Institute. Her background is in statistical consulting within academia, and she currently works within a clinical research centre in nutrition and diabetes. Kylie's PhD research is in design issues for partially clustered clinical trials.



    Post-meeting dinner

    A dinner will be held after the meeting at the Lemongrass Thai Restaurant - 289 Rundle St, 5000 Adelaide

    Please RSVP for dinner by 18th March (Monday), as we are usually unable to change the booking numbers at the last minute.


    • 21 Mar 2024
    • (AEDT)
    • 22 Mar 2024
    • (AEDT)
    • Ground Floor Conference Rooms, Monash University, School of Public Health and Preventive Medicine, 553 St Kilda Road, Melbourne

    Assessing the risk of bias in studies evaluating the effects of interventions and of exposures (in- person workshop)

    Professor Julian Higgins, University of Bristol, will be leading this two-day (in-person) workshop, providing a unique opportunity to learn from the lead developer of the risk of bias tools. The course is designed for those undertaking systematic reviews, synthesizing evidence for guidelines, or generally interested in how to appraise studies. For registration information, please see here

    Day 1 of the course will introduce participants to tools for assessing risk of bias in studies with a focus on randomized trials using the RoB 2 tool. Day 2 of the course will cover assessing the risk of bias in non-randomized/observational studies, covering the ROBINS-I and ROBINS-E tools. Familiarity with domain-based risk-of-bias assessment tools and the issues addressed by RoB 2 tool will be assumed for Day 2. Therefore, participants who are not familiar with the RoB 2 tool will need to attend both days. Details of what will be covered each day are below.

    The workshop involves a mix of presentations, interactive examples and hands-on exercises.

    Electronic copies of the slides will be provided on the day of the workshop.

     

    Outline

    Day 1:

    • Introduction to risk-of-bias assessment
    • Overview of the RoB 2 tool
    • Bias arising from the randomization process
    • Intention-to-treat versus per-protocol effects and bias due deviations from intended interventions
    • Bias due to missing data
    • Bias arising from measurement of the outcome
    • Bias in selection of the reported result

    Day 2:

    • Introduction to the ROBINS tools
    • Preliminary considerations, including specification of the causal effect of interest
    • Bias due to confounding
    • Bias in classification of intervention or measurement of exposure
    • Bias in selection of participants into the study
    • Bias due to deviations from intended intervention or post-exposure interventions
    • Bias due to missing data, measurement of the outcome and selection of the reported result

     

    Course facilitators

    Julian Higgins, University of Bristol, UK: Julian is Professor of Evidence Synthesis with a long-standing interest in methodology of systematic reviews and meta-analysis. He is author of over 350 publications, collectively cited more than 350,000 times. His contributions include: a Bayesian approach to network meta-analysis; the I-squared statistic to quantify inconsistency across studies in a meta-analysis; simple prediction intervals for random-effects meta-analysis; a general framework for individual participant data meta-analysis; and risk-of-bias assessment tools for clinical trials and other study designs. He is a past President of the Society for Research Synthesis Methodology and has co-edited the Cochrane Handbook for Systematic Reviews of Interventions since 2003. He is also co-author of the Wiley textbook Introduction to Meta-analysis and co-editor of the 3rd edition of Wiley textbook Systematic Reviews in Health Research: Meta-analysis in Context. Read more about Julian’s research interests here.

    Matthew Page, Monash University: Matthew is a Senior Research Fellow and Deputy Head of the Methods in Evidence Synthesis Unit. His research aims to improve the quality of systematic reviews of health and medical research. He has led many studies investigating the transparency, reproducibility and risk of bias in systematic reviews and the studies they include and has developed several methods to address these issues. For example, he co-led the development of the PRISMA 2020 statement, a highly cited reporting guideline for systematic reviews, was a member of the core group who developed the RoB 2 tool for assessing risk of bias in randomized trials, and led the development of the ROB-ME tool for assessing risk of bias due to missing evidence in meta-analyses. He is a member of Cochrane’s Methods Executive, the group that is responsible for directing the methods used within Cochrane Reviews. Read more about Matthew’s research interests here.

    Joanne McKenzie, Monash University: Jo is a Professor and Head of the Methods in Evidence Synthesis Unit. She leads a programme of research on methods for evidence synthesis, with some key areas of interest being methods to present and synthesize results when meta-analysis is not possible, statistical methods for analysing and meta-analysing results from interrupted time series studies, and the development of reporting guidelines for different evidence synthesis products. She co-led the PRISMA 2020 statement and contributed to the development of the ROB-ME tool for assessing risk of bias due to missing evidence in meta-analyses. She is an active contributor to Cochrane, including being a Co-convenor of the Statistical Methods Group and an author of several chapters of the Cochrane Handbook for Systematic Reviews of Interventions. Read more about Jo’s research interests here.

     

    Organisation

    The Methods in Evidence Synthesis Unit (MESU) sits within the School of Public Health and Preventive Medicine at Monash University. The Unit’s mission is to develop, evaluate and make accessible optimal statistical and research methodology for evidence synthesis. The MESU team has led and contributed to major developments and understanding in evidence synthesis including developing reporting guidelines (PRISMA 2020, PRIOR, SWiM, and extensions to PRISMA 2020), risk of bias tools (ROB-ME, RoB 2), methods for synthesis when meta-analysis is not possible, methods for meta-analysing results from non-randomised studies, methods for overviews of systematic reviews, examining reproducibility in systematic reviews and bias in the review process. MESU staff regularly provide training to researchers, nationally and internationally, and collaborate on systematic reviews. MESU is funded through nationally competitive NHMRC and ARC grants. 

    Cochrane Australia sits within the School of Public Health and Preventive Medicine at Monash University and is a centre of expertise in evidence synthesis and the use of evidence to support healthcare decision-making. Cochrane Australia conducts evidence syntheses for government and public sector agencies, provides guidance and training on how to conduct evidence syntheses, and works with guideline developers and others to translate research into healthcare practice and policy.

     


    • 26 Mar 2024
    • 9:00 AM - 12:30 PM (AEDT)
    • Online
    • 0
    Join waitlist

    The Statistical Computing and Data Visualisation Section is now offering tutorials.

     Introduction to Machine Learning with tidymodels Presented by Max Kuhn

    This is for data scientists wanting to improve their modeling skills, and gain a better understanding of machine learning models. 

    About the presenter: Max Kuhn is a software engineer at Posit. He has been instrumental in improving the modeling capabilities in R. Max has a Ph.D. in Biostatistics and is the author of numerous R packages for techniques in machine learning. He has a background  in the pharmaceutical industry.  With Kjell Johnson, his book Applied Predictive Modeling, won the 2015 Ziegel award from the American Statistical Association, for the best book reviewed in Technometrics. He is the co-author of the book Tidy Modeling with R available at https://www.tmwr.org/

    Background: Participants should have a good working knowledge of R, and be familiar with basic data wrangling and visualisation as described in R for Data Science by Wickham and Grolemund (2016).

    The tutorial will follow selected materials from https://www.tidymodels.org/ and  https://www.tmwr.org/ and will be made available a few days prior to the tutorial.



    Cancellation Policy

    Occasionally courses have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.

    Cancellations received prior to two weeks before the event will be refunded, minus a $25 administration fee. From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

    For any questions, please email events@statsoc.org.au


    • 26 Mar 2024
    • 9:00 AM - 12:30 PM (AEDT)
    • Online
    • 16
    Register

    The Statistical Computing and Data Visualisation Section is now offering tutorials.

     Visualising spatial uncertainty presented by Petra Kuhnert

    This is for research scientists wishing to visualise uncertainty on maps and keen to gain a greater understanding of visualisations available in the Vizumap R package and how to generate them. The objectives for the tutorial are:

    • To educate attendees on the importance of providing uncertainties with their spatial predictions.
    • To provide an overview of the Vizumap R package, its key visualisations and main functions of the package.
    • To take workshop attendees through an example that they can follow online and produce Vizumap maps.
    • Run breakout sessions (3) where each group gets given a problem to visualise uncertainties on maps. They need to use Vizumap to produce each of the visualisations, answer some questions in relation to the produced maps for their problem, put together a brief presentation and report back to the broader group.

    The structure follows:

    9:00-9:05 Welcome and Introductions

    9:05-10:00 Session 1: Introduction to the Vizumap R package and methods for visualising uncertainties on maps (incl Q&A)

    10:00-10:15 BREAK

    10:15-11:00 Session 2: Hands on tutorial that uses Vizumap to visualise uncertainties on maps using the GBR pollutant load modelling outputs

    11:00-11:15 BREAK

    11:15-12:00 Session 3: Breakout session for groups to work on one of 3 problems

    12:00-12:25 Presentations from each group and discussion around the problem, choice of map and features and experience with Vizumap.

    12:25-12:30 Close and final comments.

    About the presenter: Petra Kuhnert is the Associate Science Director – University Engagement at CSIRO’s Data61. She has a PhD in Statistics from QUT, focussing more recently on the development of methods at the intersection between statistics and machine learning to develop more informative predictions for risk-based decision-making. In 2023, Petra was a recipient of two Women in AI (WAI) awards for her modelling work related to the Great Barrier Reef: 1st runner-up for the APAC Women in AI Innovator of the Year Award, and the APAC Women in AI Environment and Biodiversity Award 2023. Petra co-designed the award-winning software, "Vizumap" with Lydia Lucchesi. Vizumap is an innovative visualisation package written in the R programming language. More recently her focus has been towards the development of emulation methods using machine learning to speed up slow running physical systems and the use of space technologies (e.g. remote sensing) to enhance the predictions of terrestrial environmental and agricultural processes.

    Background: Participants should have a good working knowledge of R, and some background in modelling, particularly models of spatial and/or spatio-temporal processes and the data underpinning those.

    More details can be found at https://statsocaus.github.io/tutorial_vizumap/. Materials will be provided a few days prior to the tutorial. 




    Cancellation Policy

    Occasionally courses have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.

    Cancellations received prior to two weeks before the event will be refunded, minus a $25 administration fee. From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

    For any questions, please email events@statsoc.org.au


    • 26 Mar 2024
    • 1:00 PM - 4:30 PM (AEDT)
    • Online
    • 0
    Join waitlist

    The Statistical Computing and Data Visualisation Section is now offering tutorials.

     Visualising high-dimensional data presented by Di Cook

    This is for scientists and data science practitioners who regularly work with high-dimensional data and models and are interested in learning how to better visualise them. You will learn about recognising structure in high-dimensional data, including clusters, outliers, non-linear relationships, and how this can be used with methods such as supervised classification, cluster analysis and non-linear dimension reduction. The course will be structured as follows:

    1:00-1:20 Introduction: What is high-dimensional data, why visualise and overview of methods

    1:20-1:45 Basics of linear projections, and recognising high-d structure

    1:45-2:30 Effectively reducing your data dimension, in association with non-linear dimension reduction

    2:30-3:00 BREAK and PRACTICAL EXERCISES

    3:00-3:45 Understanding clusters in data using visualisation

    3:45-4:30 Building better classification models with visual input

    About the presenter: Dianne Cook is Professor of Business Analytics at Monash University in Melbourne, Australia.  She is a world leader in data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit.  She is currently focusing on bridging the gap between exploratory graphics and statistical inference.  Di is a Fellow of the American Statistical Association, past editor of the Journal of Computational and Graphical Statistics, current editor of the R Journal, elected Ordinary Member of the R Foundation, and elected member of the International Statistical Institute.

    Background: Participants should have a good working knowledge of R, and some background in multivariate statistical methods and/or data mining techniques.

    More details can be found at https://statsocaus.github.io/tutorial_highd_vis/. Materials will be provided a few days prior to the tutorial. 


    Cancellation Policy

    Occasionally courses have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.

    Cancellations received prior to two weeks before the event will be refunded, minus a $25 administration fee. From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

    For any questions, please email events@statsoc.org.au


    • 26 Mar 2024
    • 5:00 PM - 7:00 PM
    • 308 Teaching Suite, UQ Brisbane City, University of Queensland, 308 Queen Street, Brisbane/Online
    Register

    STATISTICAL SOCIETY OF AUSTRALIA QUEENSLAND BRANCH ANNUAL GENERAL MEETING 2024

    Location: 308 Teaching Suite, UQ Brisbane City, University of Queensland, 308 Queen Street (Please ask the concierge to let you up!)/Zoom

    Time: 5 PM to 7 PM

    Date: Tuesday, March 26th, 2024

    Please join us in-person/online for the SSA Queensland Annual General Meeting! We will review the past year's accomplishments, elect the 2024 council, and discuss updates to the branch's rules.

    For those who are unable attend in person, a Zoom link will be sent with registration.

    Following the AGM, we'll hear from Dr. Carmen Lim, NHMRC Emerging Leadership Fellow at the National Centre for Youth Substance Use Research. More details about Dr. Lim's presentation will be available soon.

    CALL FOR NOMINATIONS FOR MEMBERS OF BRANCH COUNCIL 2024

    Nominations are called for the positions in the Queensland Branch Council for 2024 in accordance with Rule 12b of the Branch. Nominations should be received, in writing, by the Secretary, on or before Tuesday 26th March 2024. Such nominations shall be signed by at least two members, and shall be accompanied by the candidate's written statement of willingness to stand. Nomination forms will also be provided at the AGM. Separate nomination forms are available for councillors and executive positions (President/Secretary/Treasurer).

    Please scan and email written nominations to SSA QLD branch Secretary Adrian Barnett (a.barnett@qut.edu.au) or qld.ssai@gmail.com.

    • 26 Mar 2024
    • 6:00 PM - 7:00 PM (AEDT)
    • In-person and online via Zoom

    SSA Canberra invites everyone to attend its post-AGM branch meeting, where our outgoing branch president Pauline Ding will be dazzling us with her research on data masking!

    Details of the talk and its zoom link are given below. 

    Date: Tuesday 26 March 2024

    Time: 6.00pm – 7.00pm AEDT   

    Speaker: Pauline Ding1

    Co-authors: Harrison Rowles, John Brackenbury and Y.X. Lin

    National Institute for Applied Statistics Research Australia, University of Wollongong, Australia

    Venue: Room 2.02 in Marie Reay Teaching Centre, Australian National University (MRTC ANU),  or via Zoom.

    Zoom link:

    https://anu.zoom.us/j/86382440608?pwd=RVVVeWNidXpDV3Q0Yi9raFFXVlVsUT09

    (full link details are below)

    Topic: Optimising Twin Uniform Distribution for Multiplicative Noise Data Masking 

    Abstract:

    Multiplicative noise masking is a well-known method to perturb data for privacy protection purpose. Twin uniform distribution has been introduced in the literature as a distribution for multiplicative noise, given the simplicity in its mathematical form and the ability to provide good value protection without sacrificing statistical utility. We further explore the impact of various distribution parameters on the performances of privacy protection and utility loss when multiplying twin uniform noise for data masking. An approach to optimise the multiplicative noise scheme with twin unform noise distribution is proposed. We apply the optimisation algorithm to a real accounts payable dataset, and conclude that it yields good results for both privacy and utility.

    Biography:

    Pauline is a lecturer in Statistics in the University of Wollongong, Australia. Before that, she had worked as statistical consultant in the Australian National University. Her recent research interests are the area of data privacy.

     

    Dinner: 

    After the talk we will be holding a dinner at The Golden Drum restaurant, Shop 1/14 Childers St, Canberra. (Golden Drum | Canberra ACT | Facebook). If you are interested in attending the dinner, please let me know by 5pm Monday 25 March by entering your details at SSA Canberra Branch dinner attendance sheet or contacting me (warren.muller@csiro.au; 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text me (0407 916 868).

    NOTE: We are offering discounts to SSA Early Career and Student members who attend dinner! Specifically, dinners will be a fixed charge of $10 for student members and $20 for early career members. Others will pay their share of the bill, after SSA applies a small subsidy. Typically this is $30-$40. Please bring cash if possible."

    -----------------

    Full Zoom Link:

    Topic: SSA Canberra branch meeting
    Time: Mar 26, 2024 06:00 PM Canberra, Melbourne, Sydney

    Join Zoom Meeting
    https://anu.zoom.us/j/86382440608?pwd=RVVVeWNidXpDV3Q0Yi9raFFXVlVsUT09

    Meeting ID: 863 8244 0608
    Password: 277583
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    • 28 Mar 2024
    • 4:30 PM - 7:00 PM (AEDT)
    • Room 4082, Anita B. Lawrence Centre, UNSW
    Register

    We are happy to announce the 76th (2024) Annual General Meeting (AGM), to be followed by the Lancaster Lecture given by Dr. Gordana Popovic. The event will be held at 4:30PM (AEDT), March 28th at the University of New South Wales, Sydney, Anita B. Lawrence Centre (previously Red Centre), Room 4082. We hope to see you all there! The materials for the 2024 AGM will be progressively added here.

    You can find the 2023 AGM minutes here.   Any questions, please feel free to contact: secretary.nswbranch@statsoc.org.au. Date:  Thursday, 28th March 2024 Time: 4:30pm - 5:30pm: AGM 5:30pm - 6:00pm: Break and refreshments 6:00pm - 7:00pm: Lancaster Lecture 7:00pm onwards: Dinner (at a nearby restaurant). See RSVP section below Venue: Room 4082, Anita B. Lawrence Centre (previously Red Centre), UNSW or via zoom.

    RSVP: Please register via SSA NSW: 2024 AGM + Lancaster Lecture if you are attending the AGM and the Lancaster Lecture in person. Attending the dinner requires a separate RSVP and please register prior to the event. 


    Lancaster Lecture

    Title : Odds-On Favorite: Analysing haphazard Surveys with mild-ish Assumptions

    Speaker: Dr Gordana Popovic

     

    Abstract

    While statisticians generally recommend collecting data via probability sampling, applied researchers studying humans frequently use haphazard and other non-probability samples to conduct surveys, and statistical consultants are regularly asked to help analyse such data. Principled analysis of non-probability samples relies on having reference data from probability samples or censuses, to adjust for non-response bias by say weighting or covariate adjustment. What can be done without auxiliary information?

    It is well known that odds ratios are invariant under certain types of selection bias, for example outcome dependent sampling, which is why we use them in case control studies. We extend these results to selection bias on both the outcome and predictor, by way of some assumptions about how these biases are related.

    In a collaboration on racial bias in police searches from a haphazard Facebook survey, where no auxiliary data was available, we used these assumptions to estimate odds ratios. We discuss how the assumptions were communicated with researchers so that their plausibility could be assessed by domain experts.

    Biography:

    Gordana completed her PhD in statistics and statistical ecology at UNSW in 2007, and has been working as a statistical consultant at Stats Central, UNSW Sydney every since. Her focus is on mentoring junior applied researchers to take a principled approach to quantitative research though teaching and collaboration.

    • 10 Apr 2024
    • 4:30 PM (AEST)
    • online
    Register

    The Bayesian Section of SSA is hosting the webinar: Fast Integrative Factor Models: Applications from Nutritional Epidemiology to Cancer Genomics presented by Dr. Alejandra Avalos-Pacheco.

    Data-integration of multiple studies can be key to understand and gain knowledge in statistical research. However, such data present artifactual sources of variation, also known as covariate effects. Covariate effects can be complex, leading to systematic biases, that if not corrected could lead to unreliable inference. In this talk I will present novel sparse latent factor regression (FR) and multi-study factor regression (MSFR) models to integrate such heterogeneous data. The FR model provide a tool for data exploration via dimensionality reduction and sparse low-rank covariance estimation while correcting for a range of covariate effects. MSFR are extensions of FR that enable us to jointly obtain a covariance structure that models the group-specific covariances in addition to the common component. She will discuss the use of several sparse priors (local and non-local) to learn the dimension of the latent factors. Our approaches provide a flexible methodology for sparse factor regression which is not limited to data with covariate effects. Our models are fitted leveraging novel scalable EM and ECM algorithms as well as Variational Inference methods. She will present several examples, with a focus on bioinformatics applications. We show the usefulness of our methods in two main tasks: as an unsupervised dimension reduction task to give a visual representation of the latent factors of the data; and as a supervised tool to: (i) provide survival predictions leveraging the obtained factors, or (ii) obtain dietary patterns, associating each factor with a measure of overall diet quality related to cardiometabolic disease risk.

    About the presenter:

    Dr. Alejandra Avalos-Pacheco is an Universitätsassistentin (Assistant Professor non-tenure track) in the Research Unit of Applied Statistics at the Technische Universität Wien (TU Wien). Additionally, she holds an affiliation with Harvard University in the Harvard-MIT Center for Regulatory Science. Before joining TU Wien, Dr. Avalos-Pacheco served as a research fellow at the University of Florence. Prior to this, she held postdoctoral positions at Harvard University and the Dana-Farber Cancer Institute.


    Dr. Avalos-Pacheco completed her PhD in Statistics through the joint CDT programme between the University of Warwick and the University of Oxford (OxWASP), focusing on statistical methods for genomic data analysis.  Her PhD thesis, supervised by Prof. David Rossell and Prof. Richard Savage, was granted the 2019 Savage Award in Applied Methodology. Such a prize is
    conferred by the International Society of Bayesian Statistics (ISBA) and the American Statistical Association (ASA) Section on Bayesian Statistical Science (SBSS).

    Dr. Avalos-Pacheco has actively contributed to the statistical community. She served as the chair of the junior section of the ISBA, known as j-ISBA, from 2021 to 2023.


    Dr. Avalos-Pacheco is dedicated to enhancing understanding of real-world problems and facilitating fast, accurate decision-making. Her research interests lie in the application of statistical methodologies to medical challenges, particularly in the realm of cancer research. Leveraging Bayesian and probabilistic machine learning algorithms, she specialises in statistical methods for large heterogeneous data, emphasizing data integration. Her research interests span high-dimensional inference, applied Bayesian statistical modeling, dimensionality reduction, heterogeneous data integration, graphical models, and clinical trials.


    • 2 May 2024
    • (CEST)
    • 4 May 2024
    • (CEST)
    • Valencia, Spain

    Call for Papers

    They invite submissions to the 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), and welcome paper submissions on artificial intelligence, machine learning, statistics, and related areas.

    AISTATS is an interdisciplinary gathering of researchers at the intersection of computer science, artificial intelligence, machine learning, statistics, and related areas. Since its inception in 1985, the primary goal of AISTATS has been to broaden research in these fields by promoting the exchange of ideas among them. The conference is committed to diversity in all its forms, and encourages submissions from authors of underrepresented groups and geographies in ML/AI.

    Key dates

    • Abstract deadline: 6 October 2023 (Anywhere on Earth)
    • Paper submission deadline: 13 October 2023 (Anywhere on Earth)
    • Appendix submission deadline: 20 October 2023
    • Reviews released: 27 November 2023
    • Author rebuttals due: 5 December 2023 (Anywhere on Earth)
    • Paper decision notifications: 19 January 2024
    • Conference dates: May 2 - May 4, 2024

    Paper Submission (Proceedings Track)

    The proceedings track is the standard AISTATS paper submission track. Papers will be selected via a rigorous double-blind peer-review process. All accepted papers will be presented at the Conference as contributed talks or as posters and will be published in the Proceedings.

    Solicited topics include, but are not limited to:

    • Machine learning methods and algorithms (classification, regression, unsupervised and semi-supervised learning, clustering, logic programming, …)
    • Probabilistic methods (Bayesian methods, approximate inference, density estimation, tractable probabilistic models, probabilistic programming, …)
    • Theory of machine learning and statistics (optimization, computational learning theory, decision theory, online leaning and bandits, game theory, frequentist statistics, information theory, …)
    • Deep learning (theory, architectures, generative models, optimization for neural networks, …)
    • Reinforcement learning (theory of RL, offline/online RL, deep RL, multi-agent RL, …)
    • Ethical and trustworthy machine learning (causality, fairness, interpretability, privacy, robustness, safety, …)
    • Applications of machine learning and statistics (including natural language, signal processing, computer vision, physical sciences, social sciences, sustainability and climate, healthcare, …)

    Formatting and Supplementary Material

    Submissions are limited to 8 pages excluding references using the LaTeX style file we provide below (the page limit will be 9 for camera-ready submissions). The number of pages containing only citations and the reproducibility checklist is not limited. You can also submit a single file of additional supplementary material which may be either a pdf file (such as proof details) or a zip file for other formats/more files (such as code or videos). Note that reviewers are under no obligation to examine the supplementary material. If you have only one supplementary pdf file, please upload it as is; otherwise gather everything to the single zip file.

    Submissions are accepted at https://cmt3.research.microsoft.com/AISTATS2024/.

    Formatting information (including LaTeX style files) is available in the AISTATS2024PaperPack. We do not support submission in preparation systems other than LaTeX. Please do not modify the layout given by the style file. If you have questions about the style file or its usage, please contact the publications chair or the program chairs via aistats2024conference@gmail.com.


    For more information about submission or registration click here.

    • 2 May 2024
    • 9:00 AM (AEST)
    • 23 May 2024
    • 10:00 AM (AEST)
    • weekly online, one hour a week
    • 14
    Register
    The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.


    About the course

    Sampling II presents different applications of the methods and techniques covered in the Sampling I course. This is also an applied statistics methods course concerned almost exclusively with the design of data collection rather than data analysis. The course will concentrate on sampling applications to human populations, since this poses a number of particular problems not found in sampling of other types of units. The principles of sample selection, though, can be applied to many other types of populations.

     About the presenter

    Raphael Nishimura is the Director of Sampling Operations in Survey Research Operations at the Survey Research Center (SRC) in the Institute of Social Research of the University of Michigan.

    He has been working with sampling and survey statistics for over ten years. He holds a PhD in survey methodology from the University of Michigan and a bachelor’s degree in statistics from the University of São Paulo.

    His main research interest includes sampling methods, survey nonresponse and adaptive/responsive designs.

    Nishimura is also the director of the Sampling Program for Survey Statisticians of the SRC Summer Institute for Survey Research Techniques.


    Course dates

    Course dates: May 2 – May 23, 2024
    Weekly live sessions with instructor: Thursdays, 9:00 am AEST

    Early Bird Deadline
    Please book before 15 March 2024 to take advantage of the Early Bird Deadline.

    Course objectives

    By the end of the course, you will…

    1. be able to design and implement large-scale state-wide or national samples using multi-stage sampling with different sampling techniques
    2. understand issues related with multiple frame designs and use them in settings such as telephone sampling
    3. be able to identify opportunities to effectively use unequal selection probability design, like establishment surveys

    Grading

    Grading will be based on:

    1. 4 Homework assignments (50% of grade)
    2. 4 Quizzes (one at the start of each online session; 15% of grade)
    3. Participation in discussion during the weekly online meetings, submission of questions in the weekly discussion forum, demonstrating understanding of the required readings and video lectures, and positive contributions on the Discussion Forum, see below (10% of grade)
    4. A final open-book online exam (25% of grade)

    Prerequisites

    Sampling I or equivalent knowledge. Some experience with the R statistical computing software is helpful.

    Readings:

    Reading: Valliant, R., Dever, J.A., and Kreuter, F. (2018). Practical Tools for Designing and Weighting Survey Samples, 2nd Edition. New York: Springer.


    Disclaimer:
    • Participants will receive access data for the online course, in particular to any learning platform that may be used. The rights of use connected to the access data are personally assigned to the participant. Passing on the access data is not allowed. Also, the temporary transfer to third parties is not permitted.
    • The right to use the transmitted access data, in particular with regard to any materials or video recordings provided, can only be exercised up to a maximum of 2 months after the program end. After expiration of this 2-months period, the access data will be deleted by Mannheim Business School (MBS). Before the expiration of this period, the participant may view the respective recorded course as often as desired and without time restriction.
    • If we have reasons to believe that the participant is abusing the right of use granted to him or that there is a violation of the terms of use, MBS reserves the right to change the participant’s access data as well as to partially or completely block the access or to prohibit the further use of the digital content.

    Group bookings

    For group bookings, please email Jodi Phillips with the names, email addresses, and telephone numbers  of the participants in the group.

    Cancellation Policy

    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.

    Cancellations received prior to two weeks before the event will be refunded, minus a $20 administration fee. From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

    For any questions, please email SSA's Event Coordinator, Jodi Phillips.


    • 8 May 2024
    • (NZST)
    • 9 May 2024
    • (NZST)
    • National Library in Wellington, New Zealand

    Join R Exchange 2024

    Now in its 4th year, R Exchange provides a regional opportunity for New Zealand and Australian open-source analytics and data science enthusiasts to connect and learn from each other. The programme showcases how organisations across a variety of disciplines are using R and related tools to create insights for decision-making and align them with strategic goals. Learn with us how to better visualise outputs, automate reporting, and scale up work flows and data products. If you haven’t worked with R and other open-source tools yet, get inspired by how others use them and what can be done.

    R Exchange 2024 will take place on 8-9 May at the National Library in Wellington, New Zealand.

    The event will include a conference day full of presentations, panel discussions and networking; as well as a pre-conference workshop (see details below).


    Click here for more details, the full schedule and to register

    Don’t miss out on the R community event!
    The Epi-interactive team

     


     

    R Shiny in Production

    Pre-event workshop (8 May 2024)

     

    Moving beyond conceptualising R Shiny apps to deploying them in real-world scenarios can be challenging. This workshop addresses the gap, focusing on essential software engineering and DevOps practices to elevate your R Shiny projects. Dive deep into code modularisation, performance optimisation, testing, security, and data source integration. Ideal for those progressing from basic R Shiny skills, this workshop caters to developers looking to enhance existing projects or embark on new ones.

    Facilitated by: Nick Snellgrove (Tech Lead – R Development, Epi-interactive), Ieuan Jenkins (Tech Lead – Infrastructure, Epi-interactive) & Dr Stefan Schliebs (Senior Data Scientist, Air New Zealand)


    Learn more and register here

    Please note: This workshop does assume familiarity with R and prior experience with R Shiny, either acquired on your own or through attending our Introduction or Advanced R Shiny Masterclass, which will be offered online in February and March. Places are limited and will be allocated on a first come – first served basis.

     




    Connecting data, science & people

     

    • At Epi-interactive they use open-source technologies, visualise data, craft dashboards, research websites and analytical software, or help you fine-tune your data science infrastructure. Learn more or connect at www.epi-interactive.com.
    • As a Full-Service Posit Partner they can help you succeed with Posit professional products such as Posit Server, Connect or Package Manager at all levels. You can buy all licenses at list price directly through them and access added support as you need it: epi-interactive.com/posit.
    • They are B Corp certified, joining a global community of like-minded businesses that deeply care about people, community and the environment, not just profit.


    Follow them on LinkedIn for news and updates or contact them on info@epi-interactive.com if you would like to discuss your project idea.

     

    • 13 May 2024
    • (BST)
    • 15 May 2024
    • (BST)
    • Online

    FOURTH INTERNATIONAL CONFERENCE ON STEPPED WEDGE TRIAL DESIGN


    13th-15th May 2024, FREE ONLINE CONFERENCE

    The University of York is pleased to announce the Fourth International Conference on Stepped Wedge Trial Design ONLINE on 13th-15th May 2024.

    The conference is a platform to share ideas, experience, best practice and challenges for the design, implementation and analysis of the stepped wedge design model.

    Keynote Speakers: Professor Richard Hooper (Queen Mary University of London) and Associate Professor Jessica Kasza (Monash University)

    Registration is FREE.

    Abstract submissions are welcome now (Deadline: Noon 16th February 2024).
    We especially encourage contributions from underrepresented groups and diverse fields of application.

    For further information and link to the abstract submission form, see:
    https://www.york.ac.uk/healthsciences/research/trials/stepped-wedge2024/

    Free and open to all (Registrations will open in February 2024)

    • 14 Jul 2024
    • (BST)
    • 19 Jul 2024
    • (BST)
    • Durham, England, UK.

    UPDATE!!!! The deadline for 4-pages short paper submission for the 38th International Workshop on Statistical Modelling (IWSM2024) in Durham-UK (15-19 July 2024) has been extended to Thursday 27th of February 2024. Please visit the conference website https://maths.dur.ac.uk/iwsm2024/.  and submission details IWSM2024 Durham | Call for Papers. for more information.



    The 38th International Workshop on Statistical Modelling (IWSM) will take place in Durham City, England, UK.

    The IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense. The workshop aims to involve both academic and professional statisticians and data analysts with a particular focus on real data problems which involve an element of novel statistical modelling, or novel model application.

    The atmosphere of the workshop is friendly and supportive, with no parallel sessions, with the aim of stimulating the exchange of ideas and experiences related to statistical modelling.

    Papers focusing on applications with important substantive implications as well as methodological issues are welcome, including new developments in Data Science. Submissions by students and young researchers are particularly encouraged.

    The programme will consist of a short course on the Sunday (July 14th), an academic programme spanning from Monday (July 15th) morning to Friday (July 19th) lunchtime, and a social programme including a welcome reception (Monday), an excursion (Wednesday afternoon) and a conference dinner (Thursday).

    Registration: Event Booking Details (durham.ac.uk)

    Paper submission deadline: February 20, 2024



    • 2 Sep 2024
    • 5 Sep 2024
    • Samphire, Rottnest Island

    Australasian Applied Statistics Conference 2024

    2-5 September, Rottnest Island, Western Australia

    https://aasc2024conf.netlify.app/

    The Australasian Applied Statistics Conference 2024 (AASC2024) will be held on Rottnest Island at the Samphire Resort on 3-5 September 2024, with pre-conference workshops being held on 2 September in Fremantle.

    The conference will provide you with the opportunity to liaise with fellow statisticians within the agricultural, biological and environmental sciences and keep abreast of the most recent developments in statistics within this area.

    The invited speakers are: Hans-Peter Piepho, Kerrie Mengersen, Lucy Marshall, Roger Payne, Adrian Baddeley and Anna Hayes.

    Key dates

    31 May 2024: Abstract submission closes.

    1 July 2024: Early-bird registration closes.

    • 27 Nov 2024
    • (AEDT)
    • 29 Nov 2024
    • (AEDT)
    • Holme Building, University of Sydney

    ACSPRI is a consortium of universities, government research agencies and not-for profit research organisations, established as a non-profit organisation in 1976 to support and promote social science. They run intensive courses on both qualitative and quantitative research methods; develop Open source computer-assisted survey software; and undertake survey and infrastructure projects for researchers from member organisations.

    The ACSPRI conference is multi-disciplinary and brings together researchers and methodologists from a range of environments and contexts and contexts.

    CALL FOR SESSION CONVENORS: 9th Biennial ACSPRI Social Science Methodology Conference 2024

    The call for session convenors is now open. They welcome proposals for sessions, workshops, panels or plenaries. Examples of topics are listed on the call for session convenors form. Proposals close on 12 April 2024. A call for papers will be issued shortly after.

    A unique feature of this conference is that it is multi-disciplinary and brings together researchers and methodologists from a range of environments and contexts.

    The conference is organised around four themes:

    1. Research paradigms and designs;
    2. Research methods and techniques;
    3. Research technology and tools;
    4. Datasets, data collections and data archiving.

    There will be three types of submissions considered:

    1. Presentations where an abstract is reviewed (abstract in the conference proceedings).
    2. Posters - including a student poster competition (abstract in the conference proceedings).
    3. Short videos (5 minutes) - including a student short video competition (abstract in the conference proceedings).
    More details will appear on the conference website soon

    Some important dates:

    • Late August 2024: Earlybird registration opens
    • 20 September 2024: Abstract submission closes
    • 11 October 2024: Earlybird registration closes
    • 13 November 2024: Final date for submission of short videos
    • 27 November 2024: Conference opens

Past events

12 Mar 2024 WA Branch AGM 2024 (Alex Jenkins)
20 Feb 2024 No installation required: Instant coding demos and workshops using dev containers and WebR
15 Feb 2024 CPD170 - Step by Step in Survey Weighting
13 Feb 2024 Sydney Privacy Workshop 2024
12 Feb 2024 ViCBiostat Summer School 2024
9 Feb 2024 Building Data Science Capacity within the BC Public Service: A Decade of Progress presented by Dr Stephanie Hazlitt Director, Data Science Partnerships, BC Stats
7 Feb 2024 CPD174 - An Introduction to Bayesian Modelling Using greta
6 Feb 2024 Canberra Branch Meeting -- Bayesian semi-mechanistic modelling with greta for ecology and epidemiology
6 Feb 2024 CPD169 - Introduction to Big Data & Machine Learning
5 Feb 2024 Bayes on the Beach 2024
8 Jan 2024 AMSI Summer School 2024
14 Dec 2023 OZCOTS 2023 Social
13 Dec 2023 SA Branch end-of-year dinner
12 Dec 2023 Early Career and Student Statisticians Network ASC Social
12 Dec 2023 ASC Social Activity- Five Barrels Brewery
12 Dec 2023 ASC Social Activity-Dynomite Indoor Climbing Gym
12 Dec 2023 ASC Social Activity-Walk up Mount Keira lookout
12 Dec 2023 ASC Social Activity- Buribun Art Weaving
10 Dec 2023 CPD159-ASC 2023 Workshop- Essential Skills for Statistical Communication
10 Dec 2023 CPD160-ASC 2023 Workshop-Statistical Consultancy – The Essentials for Getting Started and Ongoing Success
10 Dec 2023 CPD161-ASC 2023 Workshop-Deep Statistics for More Rigorous and Efficient Data Science
10 Dec 2023 ASC and OZCOTS 2023
4 Dec 2023 Workshop on Causal and Explainable Artificial Intelligence
4 Dec 2023 Clinical Registry Data Analysis Using Stata
4 Dec 2023 Bayesian Non-Parametric Networking Workshop
1 Dec 2023 CPD173- Creating data plots for effective decision-making using statistical inference with R, presented by Dianne Cook
1 Dec 2023 CPD172- Interactive web applications with Shiny for R presented by Mitchell O'Hara-Wild
1 Dec 2023 CPD171- Deploying your model code into production with Microsoft Azure, presented by Dean Marchiori
28 Nov 2023 SSA WA: 2023 End of Year Function
27 Nov 2023 2023 International Biometric Society Australasian Region conference
24 Nov 2023 Statistical Consulting Network November Meet-Up
22 Nov 2023 NSW Branch: 2023 Annual Dinner
22 Nov 2023 NSW Branch: 2023 Annual Event: JB Douglas Award, Annual Lecture by Prof. Sally Cripps, Annual Dinner
21 Nov 2023 SSA Vic & Tas Panel Discussion - Statisticians in Society
21 Nov 2023 Canberra Branch Meeting -- Knibbs lecture 2023
16 Nov 2023 SSA QLD Branch Meeting: ASC Scholarship Showcase
16 Nov 2023 ECSSN Nov Event-From Student to Data Professional: Keys to Success in Australasian Data Industry
15 Nov 2023 SA Branch: 2023 E.A. Cornish Memorial Lecture
14 Nov 2023 SSA WA November: Maintenance Policy for a Latent Degradation System (Dr Soudabeh Shemehsavar)
14 Nov 2023 Surviving Grant Season: Lessons Learned & Practical Tips for NHMRC, MRFF and Investigator Grant development
13 Nov 2023 ASC 2023 Tees
8 Nov 2023 Value of Networking and Mentoring to Achieve Your Best: Do you have to be a Superwoman to be Successful?
1 Nov 2023 17th IEEE International Conference on Big Data Science and Engineering
30 Oct 2023 SSA Vic & Tas Hacky Hour - Building R packages
27 Oct 2023 Statistical Consulting Network October Meet-Up
27 Oct 2023 Integrating Large Language Models (LLMs) into the Data Science Workflow Speaker: Rohan Alexander
26 Oct 2023 ECSSN and NZSA October Webinar: An academic journey in pursuing the art of statistics
18 Oct 2023 SSA QLD Branch Meeting: From uncertainty to certainty: Exploiting parameter relationships to manage uncertainty in mathematical modelling
18 Oct 2023 Evaluation of Extreme Forecasts
18 Oct 2023 Canberra Branch Meeting -- Dennis Trewin prize 2023
18 Oct 2023 SA Young Statistician Career Event
17 Oct 2023 SSA Vic & Tas Belz Lecture dinner
17 Oct 2023 SSA Vic & Tas Belz Lecture: Mathematics, Gender and Statistics
17 Oct 2023 Australian Trials Methodology Conference 2023
16 Oct 2023 Platform trials and master protocols
10 Oct 2023 SSA WA October: Large Language Models, and Multi-Modalities (Dr Caren Han)
10 Oct 2023 Canberra Branch Meeting -- Bayesian Inference for Construction of Inverse Models from Data
29 Sep 2023 Statistical Consulting Network September Meet-Up
28 Sep 2023 SSA NSW: Early Career and Student Statisticians Career Event 2023
28 Sep 2023 CPD168- Careers Masterclass Series
20 Sep 2023 SSA QLD Branch Meeting: Counting all the fish in the MCM"SEA"
20 Sep 2023 Risk & Insurance Insights: Why Statisticians should have Cyber & Professional Indemnity Insurance
19 Sep 2023 SSA Vic & Tas - Early Career and Student Statistician Showcase
19 Sep 2023 The 6th ISM International Statistical Conference ISM-VI 2023
12 Sep 2023 SSA WA September: Gaussian Process Modelling in Large Astronomical Surveys (Shih Ching Fu)
29 Aug 2023 Canberra Branch Meeting -- The practitioner’s guide to machine learning quality in the ABS
25 Aug 2023 Statistical Consulting Network August Meet-Up
24 Aug 2023 SSA and ASPAI AGMs and Q & A for the Strategic Plan
24 Aug 2023 Venables Award seminar
23 Aug 2023 SSA QLD Branch Meeting: Collecting and Analysing Data through the Lens of a Behavioural Economist
22 Aug 2023 Trivia with SSA Vic & Tas
16 Aug 2023 SSA SA Branch meeting: The Role of Statisticians in Addressing the Poor Quality of Clinical Research (webinar)
16 Aug 2023 SSA NSW August event: A/Prof Anastasios Pangiotelis - Forecast Reconciliation: A Review
16 Aug 2023 Introduction to Data Linkage for Research
15 Aug 2023 Applications in long-term forecasting, derivatives valuation, anomaly detection, and machine learning
8 Aug 2023 Joint SSA WA & IBS-AR Meeting: Designing Efficient Clinical Trials (Michael Dymock)
5 Aug 2023 CPD165 - Machine Learning with Python
2 Aug 2023 SSA QLD Branch Meeting: Evidence of statistical "hacking" in clinical prediction models
28 Jul 2023 Statistical Consulting Network July Meet-Up
26 Jul 2023 Canberra Branch Meeting -- ChatGPT and Large Language Models: A Computational Linguistics Perspective
25 Jul 2023 Hacky hour - SSA Vic & Tas
20 Jul 2023 ECSSN & NZSA webinar-SmP2023: Perspectives from two Early Career Statisticians
18 Jul 2023 Spatial Statistics 2023: Climate and the Environment Inbox
17 Jul 2023 IWSM 2023- The 37th International Workshop on Statistical Modelling
16 Jul 2023 64 World Statistics Congress
10 Jul 2023 SMC Down Under
3 Jul 2023 AMSI Winter School 2023 on Modelling our Changing Biosphere.
30 Jun 2023 Statistical Consulting Network June Meet-Up
28 Jun 2023 SSA QLD Branch Meeting: Structural Choice Modelling: An Extension and Generalisation of McFadden's Multinomial Logit
27 Jun 2023 SSA Vic & Tas mentoring night
27 Jun 2023 Canberra Branch Meeting -- Statistically Significant or Signifying Statistics?
27 Jun 2023 SSA NSW June event: Prof Lucy Marshall - Quantifying the known unknowns
23 Jun 2023 Statistics and Data Science Education: Connecting Disciplines
22 Jun 2023 Much More Than Just Fitting Models - Perspective from an Applied Statistical Scientist
15 Jun 2023 Navigating the Australian research funding landscape: a networking evening
15 Jun 2023 Novel applications of cross-sectoral data linkage to understand and reduce health inequities among Australians in contact with the criminal justice system
13 Jun 2023 SSA WA: Perth Biostats/Bioinfo Meetup 2023
31 May 2023 How to Become a Fellow of the Australian Academy of Science
30 May 2023 SSA Vic & Tas May Event: What's new in the tidyverse? by Professor Mine Çetinkaya-Rundel
30 May 2023 Canberra Branch Meeting -- Statistical methods for quantifying empathic accuracy
29 May 2023 ACSPRI Masterclasses in Choice Modelling
26 May 2023 Statistical Consulting Network May Meet-Up
17 May 2023 SSA NSW May event: Dr Gery Geenens - Towards a universal representation of statistical dependence -
9 May 2023 SSA WA: Early Career & Student Statisticians Evening
9 May 2023 Just a few days left to submit a rapid-fire talk to RSS 2023 Conference
8 May 2023 Instats courses
4 May 2023 Getting to Know: The Australia Bureau of Statistics
3 May 2023 Tomorrow’s Leaders
2 May 2023 Canberra Branch Meeting -- Machine Learning at the AIHW
28 Apr 2023 Statistical Consulting Network April Meet-Up
27 Apr 2023 CPD-164 Nonstationary Time Series: Techniques and Tools (Prof. Guy Nason)
24 Apr 2023 SSA ECSSN & WA: A Drink with Prof. Guy Nason
20 Apr 2023 Getting to Know: Stats New Zealand
20 Apr 2023 CPD163- Mathematical Engineering of Deep Learning - Part One Foundations
18 Apr 2023 SSA WA: Network Time Series (Prof. Guy Nason, 2023 Frank Hansford-Miller Fellow)
31 Mar 2023 Statistical Consulting Network March Meet-Up
30 Mar 2023 Academia vs Industry: A statistical viewpoint
30 Mar 2023 Fundamentals of Qualitative Research - March 2023
29 Mar 2023 SSA QLD branch AGM and seminar
28 Mar 2023 20 years of statistical bioinformatics: a brief history of the limma and edgeR packages
28 Mar 2023 SSA Vic branch Annual General Meeting
28 Mar 2023 Canberra Branch AGM and Meeting -- Estimation of daily smoking prevalence for disaggregated statistical areas in Australia
22 Mar 2023 SSA SA Branch - 2023 Annual General Meeting
21 Mar 2023 Webinar: Why statisticians should have a tailored insurance program
21 Mar 2023 Use linear, logistic, Poisson and its variants regressions in the context of longitudinal studies in health and medical research.
16 Mar 2023 SSA NSW: 2023 AGM + Lancaster Lecture
16 Mar 2023 Core Skills - Getting started with Storyfinding
14 Mar 2023 WA Branch AGM 2023 (A/Prof. Silvana Gaudieri)
8 Mar 2023 CPD 157-Small Area Estimation Workshop: Combining Census and survey data to create reliable local-area estimates
1 Mar 2023 2023 Statistical Society of Australia (SSA) Welcome Event
28 Feb 2023 Canberra Branch Meeting -- Trials and Triumphs with survey estimation
24 Feb 2023 Statistical Consulting Network February Meet-Up
21 Feb 2023 Causal inference in Econometrics and Health Sciences
8 Feb 2023 SSA QLD Branch Meeting: Bad statistics: What can journals do?
6 Feb 2023 CPD155- The Necessary SQL - An Introduction to SQL with Daniel Fryer
16 Jan 2023 AMSI Summer Careers Day 2023
9 Jan 2023 AMSI Summer School 2023
7 Dec 2022 SSA Vic: Virtual social event
6 Dec 2022 Canberra Branch -- Knibbs lecture 2022
5 Dec 2022 NSW Branch: 2022 Annual Dinner
5 Dec 2022 NSW Branch: 2022 Annual Event: JB Douglas award, Annual lecture by Prof. Marijka Batterham, Annual Dinner
1 Dec 2022 The Time Series and Forecasting Symposium
1 Dec 2022 The 2022 ANZRSAI Conference: Australia and New Zealand Regional Science Association International 45th Annual Conference, 2022
29 Nov 2022 SSA WA: End of Year Function
29 Nov 2022 The Limits of Predictability
28 Nov 2022 Australasian Applied Statistics Conference 2022
25 Nov 2022 Statistical Consulting Network November Meet-Up
24 Nov 2022 Designing Data Visualization To Make a Real Impact On Your Audience (Data Visualization Stream)
23 Nov 2022 8th Biennial ACSPRI Social Science Methodology Conference 2022
22 Nov 2022 CPD156- A crash course on using machine learning methods effectively in practice
21 Nov 2022 ADSN Inaugural Conference
21 Nov 2022 BioInfoSummer 2022
21 Nov 2022 The FMfI (Forum Math-for Industry) Forum 2022 – “Mathematics of Public Health and Sustainability”
17 Nov 2022 SSA WA: Careers Panel, Networking & Sundowner
16 Nov 2022 The APCMfI (Asia Pacific Consortium of Mathematics for Industry) Conference – “Statistics and Mathematical Modelling in Combination”
15 Nov 2022 Enacting sovereign rights of Aboriginal and Torres Strait Islander people in official statistics and other data - Dr Kalinda Griffiths
15 Nov 2022 SSA and NZSA ECSS Miniconference 2022
10 Nov 2022 WAPOR 75th Annual and WAPOR Asia Pacific 5th Conference
9 Nov 2022 SSA NSW Branch: November Event - Andrew White - How the ARDC helps researchers maximise impact
9 Nov 2022 CPD153 - Time series analysis and forecasting using R
2 Nov 2022 SSA QLD Branch Meeting: Test anything with Universal Inference
28 Oct 2022 Statistical Consulting Network October Meet-Up
26 Oct 2022 SSA NSW Branch: October Event - Brian Cullis - Optimal Design of Comparative Experiments and the odw R Package
25 Oct 2022 Canberra Branch -- Dennis Trewin prize 2022
25 Oct 2022 Introduction to Linear Regression (Basic Statistics Stream)
20 Oct 2022 SSA Vic Belz Dinner
20 Oct 2022 SSA Vic Belz Lecture
20 Oct 2022 EC Bayes Seminar Series: Quan Vu (University of Wollongong)
20 Oct 2022 CPD154-Estimands, Estimators and Estimates: Aligning target of estimation, method of estimation, and sensitivity analysis
14 Oct 2022 Stochastic spatial random forest for detecting remotely sensed forest cover change despite missing data
13 Oct 2022 4th International Conference on Statistical Distributions and Applications (ICOSDA 2022)
13 Oct 2022 SSA & NZSA ECSSNs joint event: From PhD to post-doc: navigating life as an early-career researcher
12 Oct 2022 CPD152 - DIY R Package Workshop
12 Oct 2022 CPD147 – Sampling course
11 Oct 2022 SSA WA: Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data (Dr Farzana Jahan)
11 Oct 2022 International Day for Women in Statistics and Data Science (IDWSDS)
5 Oct 2022 SSA QLD Branch October Meeting: clusterBMA: Combine insights from multiple clustering algorithms with Bayesian model averaging
30 Sep 2022 Statistical Consulting Network September Meet-Up
29 Sep 2022 SSA NSW: Early Career and Student Statisticians Career Event 2022
27 Sep 2022 The 2022 AEM Annual Statistics Conference
21 Sep 2022 SSA NSW Branch: September Event - Tom Honeyman - Recognising the value of research software
21 Sep 2022 SSA SA Branch September Meeting
20 Sep 2022 SSA Vic Early Career Panel
18 Sep 2022 34th Annual Conference of the International Society for Environmental Epidemiology (ISEE)
15 Sep 2022 SSA & NZSA ECSSNs Joint Event: The Academia-Industry War: Surviving the conflict between two opposing ideals as a graduate student
13 Sep 2022 SSA WA: Geostatistics for Regionalised Compositions (A/Prof. Ute Mueller)
12 Sep 2022 RSS International Conference 2022
8 Sep 2022 SSA Venables Award Winners 2022 seminar
7 Sep 2022 SSA SA Branch - Young Statistician's Career Evening
6 Sep 2022 A step toward the future – supporting the 2021 Census with integrated administrative data
30 Aug 2022 Canberra Branch Meeting -- Impacts of COVID-19, social distancing and movement restrictions on crime in NSW, Australia.
30 Aug 2022 SSA/ASPAI AGMs 2022, followed by presentation "Measuring Sex, Gender Identity, and Sexual Orientation"
29 Aug 2022 Kernel Stein discrepancy minimization for MCMC thinning in cardiac electrophysiology
26 Aug 2022 Statistical Consulting Network August Meet-Up
24 Aug 2022 SSA NSW Branch: August Event - Steph Stammel - Managing uncertainty: statistics and econometrics as part of a multidisciplinary approach
24 Aug 2022 SSA SA August Branch Meeting: The design and analysis of a two-phase experiments involving human subjects
18 Aug 2022 “Meet Our Reps” - SSA & NZSA ECSSNs Joint Event
9 Aug 2022 Joint SSA WA & IBS-AR Meeting: Non-parametric and semi-parametric models for analysing longitudinal data (Dr Kefei Chen)
9 Aug 2022 SSA Vic: Social event - Pub Trivia, Richmond
3 Aug 2022 SSA NSW Branch: July Event (in August) - Shila Ghazanfar - Mosaic single cell data integration
3 Aug 2022 SSA QLD Branch Meeting: Considering patient outcomes and healthcare costs when obtaining prediction model cutpoints may improve value-based care
29 Jul 2022 Statistical Consulting Network July Meet-Up
26 Jul 2022 Joint Canberra Branch + ABS Foreman Lecture -- How the ABS ensures that data from the Census is of high quality
23 Jul 2022 CPD151- MACHINE LEARNING WITH PYTHON
21 Jul 2022 SSA Vic July Event-"Really Useful Engines - Engineering Data Science" by Miles McBain
20 Jul 2022 SSA SA July Branch Meeting: ANZHFR - data presentation for different audiences
18 Jul 2022 IWSM 2022 International Workshop on Statistical Modelling
11 Jul 2022 2021 Census Aboriginal and Torres Strait Islander data seminar
10 Jul 2022 International Symposium on Forecasting
10 Jul 2022 XXXI International Biometric Conference (IBC 2022) - external event
7 Jul 2022 2021 Census National Data Seminar
6 Jul 2022 ICM 2022 - external conference
29 Jun 2022 Canberra Branch Meeting -- Current state and prospects of R-packages for the design of experiments by Emi Tanaka
29 Jun 2022 Biostatistics & Bioinformatics Section Webinar: Cross-Platform Omics Prediction Procedure: a game changer for implementing precision medicine
24 Jun 2022 Statistical Consulting Network June Meet-Up
22 Jun 2022 Economic Evaluation Alongside Clinical Trials: Principles of Study Design and Decision Analysis
21 Jun 2022 SSA Vic Mentoring Night
16 Jun 2022 SSA NSW Branch: June Event - Matt Moores - Bayesian Analysis of Raman Spectroscopy
15 Jun 2022 SSA SOUTH AUSTRALIAN BRANCH MEETING-The UK Coronavirus Dashboard: How We Provide a Daily, High Demand Service
15 Jun 2022 AIFS 2022 Conference
14 Jun 2022 SSA WA: Perth Biostat/Bioinfo Meetup
7 Jun 2022 Canberra Branch Meeting -- Flexible models for clustered data
7 Jun 2022 Frontiers in Biostatistics: Celebrating 10 years of ViCBiostat
27 May 2022 Statistical Consulting Network May Meet-Up
26 May 2022 Early Career Bayes Seminar for 2022
23 May 2022 SAE 2022: Small Area Estimation, Surveys and Data Science
20 May 2022 TIES Webinar Series on Data Science for Environmental Sciences (DSES)
19 May 2022 SSA NSW Branch: May Event - Michael Bewley, From AI to Action
17 May 2022 SSA Vic May Event
12 May 2022 CPD 129-Introduction to Machine Learning for Health Data
11 May 2022 SSA QLD Branch Meeting: Regressing the periodogram
11 May 2022 Statistics for Your Grant Applications
10 May 2022 SSA WA: Early Career & Student Statisticians Evening
3 May 2022 SSA-AMSI Data Science Review: Purpose and Arrangements
29 Apr 2022 Introducing the Statistical Consulting Network Monthly Meet-Ups
27 Apr 2022 SSA NSW Branch: : April Event by Prof Benoit Liquet-Weiland and Dr Sarat Babu Moka
27 Apr 2022 Queensland branch AGM and talk
26 Apr 2022 SSA Vic + Canberra + SCV + ARDC April Event: Research software engineers: how will they shape statistics?
12 Apr 2022 SSA WA: On Arbitrarily Underdispersed Discrete Distributions (Dr Alan Huang)
6 Apr 2022 What’s It Going to Take to Get Your Study Started? Pilot and Feasibility Studies
31 Mar 2022 SSA Welcome Event
30 Mar 2022 SSA Vic March Event
30 Mar 2022 SSA Vic AGM
30 Mar 2022 COVID-19: Unexpected Opportunities and Lessons for Australia's Biostatistics, Bioinformatics and Epidemiological Community
29 Mar 2022 Canberra Branch Meeting -- Modelling of Group-Testing Data in Biosecurity
23 Mar 2022 SSA NSW: 2022 AGM + Lancaster Lecture
11 Mar 2022 Queensland Branch Meeting: Linking Heterogeneous Human Cognition with Household Financial Stress in an Agent-Based Model: Livestock Vaccine Decision-Making Among the Global Poor.
8 Mar 2022 WA Branch AGM 2022 (Prof. Elvezio Ronchetti)
7 Mar 2022 "Raising the Bar for Australian Data Science"
7 Mar 2022 Statistics for Research Workers using R and R Markdown.
3 Mar 2022 Current Innovations in Probability-based Household Internet Panel Research
1 Mar 2022 Canberra Branch Meeting featuring Dr Clara Grazian
23 Feb 2022 Kicking Off Your Research: How to Craft a Well-defined Research Question
17 Feb 2022 Gender Equality in Mathematics
8 Feb 2022 Sample Size and Power Calculations
8 Feb 2022 2022 ViCBiostat Summer School
26 Jan 2022 Making Inferences from Non-Probability Samples Through Data Integration
17 Jan 2022 ACSPRI's 2022 Summer Program
10 Jan 2022 AMSI Summer School 2022
15 Dec 2021 SSA Vic end-of-year social event
13 Dec 2021 CPD144- ABS Symposium on Data Access and Privacy
9 Dec 2021 NSW Branch: 2021 Annual Dinner
9 Dec 2021 NSW Branch: 2021 Annual Lecture by Prof. Simon Jackman - Statistics in the public eye: the case of predicting election outcome
9 Dec 2021 NSW Branch: 22nd J. B. Douglas Awards
8 Dec 2021 CPD146 - **Advanced** Data visualisation with R
6 Dec 2021 CPD140 - Data Visualisation with R
6 Dec 2021 Australian Trials Methodology Conference 2021
1 Dec 2021 SSA NSW: Early Career and Student Statisticians Career Event 2021
1 Dec 2021 StatChat
30 Nov 2021 SSA WA - End of Year Dinner
30 Nov 2021 SSA Canberra Knibbs Lecture: Perspectives on sample surveys by Prof David Steel
25 Nov 2021 Biostatistics and SARS-CoV2: A talk by Prof Geert Molenberghs
24 Nov 2021 Queensland Branch Meeting: Statistical Methods in Meta-Analysis with Applications in Health Sciences
23 Nov 2021 IASS Webinar 11 "Positioning Households Surveys for the next Decade"
23 Nov 2021 The Statistics of Climate Extreme
23 Nov 2021 Algorithmic Fairness: Choices, Assumptions, and Definitions
18 Nov 2021 CPD145 - Time Series Data Mining with Python
18 Nov 2021 CPD142 - Introduction to SQL, crash course
17 Nov 2021 SA Branch E.A. Cornish Lecture - Rob Hyndman
16 Nov 2021 SSA NSW Branch: Nov Meeting by Dr. Gabriela Nodari
16 Nov 2021 CPD139-An Introduction to Bayesian Modelling Using Greta
13 Nov 2021 CPD 143 - Machine learning with Python
10 Nov 2021 SSA NSW Branch: Oct (early Nov) Meeting by Prof. Matt Wand
9 Nov 2021 SSA WA Frank Hansford-Miller Fellowship: Research in engineering statistics: Current trends and future challenges (Dr Manuel Herrera)
9 Nov 2021 Marie Kondo Your Writing Workshop
3 Nov 2021 2021 Statistical Science Lecture (SSL): Saving Medical Dollars, Trillions at a Time: A Statistical Perspective.
26 Oct 2021 SSA Canberra Meeting: Dennis Trewin prize
25 Oct 2021 Mental Health and Well-being and the Statistical Society of Australia
25 Oct 2021 SSA Peer-Review Seminar and Panel Discussion
20 Oct 2021 SSA SOUTH AUSTRALIAN BRANCH - Kerrie Mengersen
20 Oct 2021 Queensland Branch Meeting: A Unified Bayesian Model for Predicting Volleyball Games
19 Oct 2021 ‘The ABCs of CPD’
12 Oct 2021 SSA WA Branch: Next Generation Supercomputing at Pawsey: Is Pawsey supercomputing getting ‘quikka’? Is it what I need? (Dr Pascal Elahi)
12 Oct 2021 Post-Belz lecture social night: virtual escape room
12 Oct 2021 SSA Vic Belz Lecture
29 Sep 2021 SSA NSW Branch: Sieve bootstrap memory parameter in long-range dependent stationary functional time series by Prof. Hanlin Shang
28 Sep 2021 Joint SSA Canberra + Canberra Data Scientists Meeting - Using Data Analytics for Audits
28 Sep 2021 Queensland Branch Meeting: Statisticians and the reproducibility crisis
27 Sep 2021 Mathematics without Borders - The Centennial of the International Mathematical Union
24 Sep 2021 Towards Higher-Dimensional Spatial and Spatio-Temporal Extremes - cancelled
23 Sep 2021 Storytelling with Data Visualisation
21 Sep 2021 SSA Vic: Industry Showcase Night
14 Sep 2021 SSA WA Branch: Attitudes of School Students Towards Mathematics (Prof. Inge Koch)
13 Sep 2021 Design and Analysis of Experiments course
3 Sep 2021 Summer School on Survey Statistics 2021
2 Sep 2021 SSA Vic Mentoring Event
31 Aug 2021 SSA Canberra branch meeting - Biostatistics collaborations in Health and Social research: The road taken.
25 Aug 2021 Queensland Branch Meeting: Prof Munni Begum
24 Aug 2021 SSA NSW: When your research meets Covid: A case study - by Dr. Nancy Briggs
17 Aug 2021 SSA AGM - followed by "Uncertain Futures: What Can We Forecast and When Should We Give Up?"
10 Aug 2021 Joint Meeting of SSA WA & IBS AR: Investigating Epigenetic Clocks (A/Prof Nicola Armstrong)
3 Aug 2021 SSA Vic Branch August Talk - Darren Clinch
27 Jul 2021 Joint SSA Canberra + Canberra Data Scientists Meeting
26 Jul 2021 SSA-EVENT: Early Career & Student Statisticians Conference 2021
25 Jul 2021 CPD135: Statistical Shape Analysis via Topological Data Analysis
24 Jul 2021 CPD131 - Convex Optimization for Statistical and Machine Learning with CVXR
22 Jul 2021 AMSI-SSA PUBLIC LECTURE - DATA DETECTIVES ON THE TRAIL OF BLACK HOLE MERGERS
22 Jul 2021 Early Career Biostatistician’s Day of the 42nd Annual Conference of the International Society for Clinical Biostatistics
21 Jul 2021 South Australian Branch Meeting Presentation
19 Jul 2021 IWSM 2021: 35th International Workshop on Statistical Modelling
12 Jul 2021 2021 AMSI WINTER SCHOOL ON STATISTICAL DATA SCIENCE
11 Jul 2021 63rd ISI World Statistics Congress 2021 - Statistics and Data Science for a Better World
8 Jul 2021 CPD136 - Workshop: Introduction to Julia for Statistics and Data Science.
6 Jul 2021 ANZSC Foreman Lecture & Conference Dinner – SSA Vic
6 Jul 2021 QLD Branch Meeting: Foreman Lecture stream
5 Jul 2021 SSA-Event: ANZSC2021- Modelling Data for a Brighter Future
5 Jul 2021 Computational and Applied Statistics at ICCSA 2021
5 Jul 2021 ANZSC2021 Face-to-face Hub – SSA Vic
5 Jul 2021 The Centre for Data Science at QUT is hosting a Datathon!
2 Jul 2021 Melbourne Centre for Data Science- Seminar Series 2021: A Seat at the Table: The Key Role of Biostatistics and Data Science in the COVID-19 Pandemic
30 Jun 2021 CPD138- ECSSC Science Communication Series: Presenting Virtually
28 Jun 2021 2021 World Meeting of the International Society for Bayesian Analysis
28 Jun 2021 ACSPRI's Winter 2021 Online Program
27 Jun 2021 41st International Symposium on Forecasting
23 Jun 2021 Early Career* Bayes Seminar Series: Bayesian hierarchical stacking—All models are wrong, but some are somewhere useful
18 Jun 2021 Webinar: A Desingularized Mean Field Approximation
16 Jun 2021 CPD134- ECSSC Science Communication Series: Honing Your Pitch
15 Jun 2021 SA Monthly Branch Meeting Seminar
15 Jun 2021 StatChat
9 Jun 2021 Queensland branch meeting: jamovi - statistical software for the masses
9 Jun 2021 Virtual public lecture: (Mis)(Dis)information, online social networks, and mathematics
8 Jun 2021 SSA WA June Meeting - Reflections upon five years of collaborating with WA's offshore energy industry - Dr Edward Cripps
1 Jun 2021 Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
27 May 2021 EC Bayes Seminar Series: Andrea Bertazzi (Delft)
26 May 2021 SSA NSW May Meeting by Dr. Reidar Lystad
26 May 2021 CPD133 - ECSSC Science Communication Series: Visualising Your Data
26 May 2021 Virtual Lecture: Playing God with Virtual Hearts
25 May 2021 SSA Canberra + ABS: On the use of timely economic indicators
18 May 2021 Shutdowns and Slow-Downs: Detecting Anomalies in Granular Internet Activity Data, at Global Scale
18 May 2021 Attention Hobart and Tasmanian stats society members!
17 May 2021 Introductory Statistics for Researchers using SPSS
14 May 2021 Online Seminar: Estimating volume from point-referenced thickness measurements
12 May 2021 SSA Vic: Trivia!
12 May 2021 "The Road Ahead for Women in STEM" - virtual panel discussion for International Women in Mathematics Day
11 May 2021 WA Branch Meeting - Focus on Early Career and Student Statisticians
10 May 2021 Introductory Statistics for Researchers
6 May 2021 Introduction to R
5 May 2021 CPD132 - ECSSC Science Communication Series: Science Communication
5 May 2021 'Inclusion-Exclusion' in the Mathematical Sciences. ACEMS Virtual Public Lecture with Dr Eugenia Cheng
28 Apr 2021 Queensland branch AGM and talk
27 Apr 2021 April Meeting: SSA NSW & R-Ladies Sydney Joint Event by Dr Gordana Popovic
27 Apr 2021 Introduction to R
20 Apr 2021 The Rise and Rise of Data Science Centres and Institutes
15 Apr 2021 CPD130 SSA Canberra Workshop: Data visualisation with R
13 Apr 2021 WA Branch Meeting - Prof Luke Prendergast - Meta-analysis: common traps and misconceptions
12 Apr 2021 ABC in Svalbard
1 Apr 2021 The Mathematics of Knots
1 Apr 2021 Webinar: Parallel Tempering on Optimized Paths
30 Mar 2021 SSA Canberra: An ongoing journey into spatial confounding
25 Mar 2021 SSA webinar: Predicting Benefit of Aggressive Treatment for Localized Kidney Cancer Patients Using Modified Principal Stratification with Latent Survival Classes
24 Mar 2021 SA Branch AGM+Presentation
24 Mar 2021 NSW Branch: AGM + Lancaster Lecture
18 Mar 2021 Learn How to Publish Your Manuscript Successfully with Wiley
17 Mar 2021 RSS Merseyside Local Group & UK Data Service: Starting a Career in Data - Panel
16 Mar 2021 The statistical quandaries of an ecologist
16 Mar 2021 SSA Vic AGM
9 Mar 2021 Annual General Meeting of the WA Branch of the Statistical Society of Australia
5 Mar 2021 Data Science in the News: The Data Science of Covid-19 Vaccination
2 Mar 2021 Joint SSA Canberra + RLadies Canberra Branch Meeting
1 Mar 2021 Institute for Mathematical and Statistical Innovation (IMSI) workshop to focus on how math and statistics can address climate change
24 Feb 2021 SA Branch meet & greet
22 Feb 2021 ViCBiostat Summer School 2021 (Week 2): Modern concepts in clinical trials
17 Feb 2021 Introducing the SSA Mentoring Program
17 Feb 2021 Spatial and Temporal Statistics Symposium
15 Feb 2021 ViCBiostat Summer School 2021 (Week 1): Multiple Imputation
2 Feb 2021 CPD128- Develop your online profile, course by "Science in Public"
2 Feb 2021 Sample Size and Power Calculations
28 Jan 2021 Deriving Insights from New Data Sources
28 Jan 2021 StatChat
11 Jan 2021 AMSI Summer School in the Mathematical Sciences
8 Dec 2020 SSA NSW Branch: 21st J.B. Douglas Awards + 2020 Annual Lecture by Prof Gillian Heller
7 Dec 2020 CPD123 - Statistical Consulting Network 2020 Meeting
4 Dec 2020 SSA T-Shirt Design Competition
2 Dec 2020 7th Biennial ACSPRI Social Science Methodology Conference 2020
1 Dec 2020 CPD126 - Workshop: Data wrangling with R
30 Nov 2020 AMSI BioInfoSummer 2020 – bioinformatics symposium
27 Nov 2020 The Advent of "Grammar": Bridging Statistics and Data Science for the Design of Experiments
26 Nov 2020 SA Branch webinar: Investigating the spread and divergence of genetic variations within the SARS-CoV-2 genome
26 Nov 2020 Communication Training - SSA internal training
25 Nov 2020 NSW Nov Branch Meeting by Dr Stephen Woodcock, Just not cricket: How did sports science get stuck in the statistical outfield?
24 Nov 2020 SSA Canberra Knibbs Lecture: A personal tour with Prof Raymond Carroll
20 Nov 2020 Commonly Used Biostatistical Methods for Analysing Longitudinal Data in Health Research
19 Nov 2020 SSA NSW Early Career and Student Statistician Event 2020
18 Nov 2020 The University of Wollongong's 2020 Statistical Science Lecturer: Sally Cripps
17 Nov 2020 Should statisticians all work from home even after lockdown?
17 Nov 2020 SSA Vic Special General Meeting
11 Nov 2020 Computing Bayes: Bayesian Computation from 1763 to the 21st Century
11 Nov 2020 CPD121 - Workshop: Data visualisation with R
10 Nov 2020 WA Branch Meeting - Prof Ryan Loxton - Optimisation in Practice
5 Nov 2020 On the importance to society of high quality public statistics
4 Nov 2020 IASS Webinar 3: "Survey and Big Data Interactions (during the COVID emergency)"
30 Oct 2020 Environmental Stats October seminar – Erin Schliep (University of Missouri)
28 Oct 2020 SA Branch webinar: Instrumental variables: a review of the rationale for their use, assumptions and validation methods with application to estimating the impact of health spending on health outcomes
27 Oct 2020 SSA Canberra Branch Meeting: Dennis Trewin prize 2020
21 Oct 2020 NSW 2020 Lancaster Lecture: Count on someone who can count! by Dr. Thomas Fung
20 Oct 2020 Belz Lecture social event: Simon Pampena in The Probability Drive
20 Oct 2020 Trust in Official Statistics (Belz Lecture/World Statistics Day)
20 Oct 2020 Queensland branch meeting on World Statistics Day
20 Oct 2020 Now at 3pm: Queensland branch meeting on World Statistics Day
14 Oct 2020 Webinar: Inferring genetic relatedness to identify disease-causing variants and selection signals
13 Oct 2020 WA Branch Meeting - Prof Sally Cripps - Models and Uncertainty in the time of COVID-19
8 Oct 2020 Introduction To Multiple Linear And Multiple Logistic Regression In Health Research Using Sas And R
7 Oct 2020 Social event: Slide slam, SSA-style!
6 Oct 2020 SSA webinar: It’s Alive! Frankenstein for President
30 Sep 2020 NSW September Meeting: Monte Carlo Secrets Revealed - A (Zoom) Arena Spectacular by Dr Robert Salomone
30 Sep 2020 WA Young Statisticians Workshop 2020
30 Sep 2020 CPD120: Online workshop - Semiparametric regression with R
29 Sep 2020 SSA Canberra + ABS Meeting: Foreman Lecture
28 Sep 2020 Mathematics without Borders
25 Sep 2020 Webinar: Random Effects Inference in Linear Mixed Models: The good, the bad, and the misspecified
22 Sep 2020 Early Career Industry Showcase
21 Sep 2020 SSA webinar: Advances in Data Linking Methodology at the ABS
10 Sep 2020 SSA Webinar: An application of network meta-analysis to evaluate the effectiveness of electronic cigarette on smoking cessation
10 Sep 2020 CPD122 -SSA Online Workshop: Version control using Git and RStudio
8 Sep 2020 WA Branch Meeting (Zoom registrations) - Prof David Steel
8 Sep 2020 WA Branch Meeting - Prof David Steel - What could we expect from randomly selected samples for estimating the prevalence of COVID-19?
8 Sep 2020 External event: Text Analytics in Python (Advanced)
7 Sep 2020 RSS 2020 Online Conference
3 Sep 2020 SA Branch webinar: Propensity score techniques in multiple treatment framework: the estimation of neighbourhood effect
2 Sep 2020 External event: Analytics and Bikes: Riding Tandem with Motivate to Improve Mobility
1 Sep 2020 Partners in Prevention: Understanding and Enhancing First Responses to Suicide Crisis Situations
1 Sep 2020 External event: Introduction to Python for Data Science
31 Aug 2020 External event: Introduction to Regression Modelling in R
27 Aug 2020 Improving Prediction in Human Behavior Using Behavior Modifications
26 Aug 2020 SSA NSW August Virtual Event: How Statistics is used to help creating a better justice system – a case study
25 Aug 2020 Statistical consulting in the 21st century
24 Aug 2020 External event: Introductory Statistics for Researchers
24 Aug 2020 Data and Analytics Leaders Exchange 2020
20 Aug 2020 ACEMS' National Science Week Virtual Quiz
19 Aug 2020 SA Branch webinar - A LEGENDARY way to do observational data analysis at scale!
19 Aug 2020 External event: Introduction to R
17 Aug 2020 Webinar: Can multiple disparate data sources complement each other? The case of researching economic disadvantage in Australia.
14 Aug 2020 SA Branch Young Statisticians Career Event
11 Aug 2020 WA joint seminar with IBS - Dr Smaila Sanni
11 Aug 2020 External event: Introduction to R
6 Aug 2020 P-Values and "Statistical Significance": Deconstructing the Arguments
4 Aug 2020 SSA and ASPAI AGMs
31 Jul 2020 Talking to stakeholders: Statistics in the outside world
28 Jul 2020 Sharpening the BLADE - Missing Data Imputation using Supervised Machine Learning
28 Jul 2020 Workshop: Data visualisation with R
24 Jul 2020 SSA Webinar: Writing successful fellowships
24 Jul 2020 Workshop: Introduction to Julia for Statistics and Data Science
21 Jul 2020 'The Eye of the Beholder' : Regression Coefficients & Mechanical Objectivity in Public Health Research
20 Jul 2020 Workshop: Machine learning with Python
19 Jul 2020 The 35th International Workshop on Statistical Modelling (IWSM2020)
15 Jul 2020 SA Branch webinar - Dr Natalie Twine
10 Jul 2020 Games Night - Plan your escape from our virtual Escape Room
10 Jul 2020 Virtual Poster Pitch
9 Jul 2020 SSA+NZSA virtual mini-conference
1 Jul 2020 Workshop of the 20th International Conference on Computational Science and Applications
30 Jun 2020 Beyond Beamer: Joint SSA Canberra/NSW + RLadies Meeting
26 Jun 2020 SSA Course: P-values and the normal assumption in scientific research.
23 Jun 2020 SSA Vic Mentoring Evening
22 Jun 2020 7th International Statistical Ecology Conference- external event
19 Jun 2020 Webinar: Getting to know our “cell mates”: A practical approach to microbiome analysis through a biostatistician’s lens.
17 Jun 2020 SA Branch webinar - Dr Oscar Perez-Concha
16 Jun 2020 Queensland branch meeting: Leveraging statistical shapes in genomics, looking beyond what’s Normal
10 Jun 2020 Webinar: Inquiry into the performance of the opinion polls at the 2019 Australian Federal Election – Update of progress made by the enquiry
9 Jun 2020 WA branch seminar - Dr Brenton R Clarke
5 Jun 2020 Seminar: Inferring genetic linkage maps from high-throughput sequencing data
2 Jun 2020 Queensland Branch meeting: "MIGHTY MAPS: Showcasing estimate uncertainty"
28 May 2020 Virtual Coffee - Member Catch Up and Discussion
27 May 2020 Webinar: A short overview into “how to make a learning healthcare system work”: from linking data, machine learning to ethics
27 May 2020 Queensland Branch Meeting: Searching for dark matter and new physics with GAMBIT
26 May 2020 Raising Heretics: Teaching effective scepticism using data science
21 May 2020 Data Collection in a time of multiple crises: The social research response to COVID-19, bushfires, and drought
19 May 2020 Trivia Night via Zoom, hosted by SSA Victoria
19 May 2020 Short Course: Study Design
12 May 2020 WA Young Statisticians Meeting
12 May 2020 Short Course: Introductory Statistics for Researchers
8 May 2020 SSA seminar: Jim Thorson (NOAA), Forecasting nonlocal climate impacts for mobile marine species using extensions to empirical orthogonal function analysis
4 May 2020 Short Course: Introduction to R
30 Apr 2020 Virtual Coffee - Member Catch Up and Discussion
28 Apr 2020 Vic Branch – COVID-19: modelling and public health policy
22 Apr 2020 SA Branch Meeting - Dr Murthy Mittinty
16 Apr 2020 Webinar: Learning about Covid-19 Known Unknowns: the essential role of statisticians
14 Apr 2020 WA Branch Meeting - Assoc/Prof Rachel Cardell-Oliver
31 Mar 2020 Vic Branch – Measuring Well-being
31 Mar 2020 SSA Vic AGM
26 Mar 2020 NSW Branch: AGM + Lancaster Lecture
25 Mar 2020 SA Branch Annual General Meeting
20 Mar 2020 SSA Webinar: Tales of an Applied Statistician
10 Mar 2020 WA Branch AGM and Meeting - Mark S. Handcock
5 Mar 2020 Bayesian Adaptive Randomised Clinical Trials Workshop
3 Mar 2020 Queensland Branch AGM 2020
27 Feb 2020 Bayesian Adaptive Randomised Clinical Trials Workshop
21 Feb 2020 Webinar: Statistical Machine Learning for Spatio-Temporal Forecasting
19 Feb 2020 SA Branch Meeting - Prof Omer Ozturk
7 Feb 2020 SSA Webinar: Do we die of only one cause?
11 Dec 2019 rOpenSci OzUnconf 2019 - external event
10 Dec 2019 Vic Branch – We all count: Strengthening stats and maths through diversity
9 Dec 2019 UQ Institute for Social Science Research: Longitudinal Data Analysis Course
6 Dec 2019 E. A. Cornish Memorial Lecture - SA Branch Meeting
6 Dec 2019 South Australia Biostatistics Networking
6 Dec 2019 SA Cornish Lecture
4 Dec 2019 UNSW Biostatistics Seminar
4 Dec 2019 Bayesian adaptive trials workshop - external event
3 Dec 2019 Webinar: Communicating risk and uncertainty with Sir David Spiegelhalter
3 Dec 2019 Queensland branch Xmas event
3 Dec 2019 Introduction to Python for Data Science - external event
3 Dec 2019 Biometrics by the Botanic Gardens 2019 - external event
2 Dec 2019 17th Australasian Data Mining Conference (AusDM’19) - external event
1 Dec 2019 Workshops at Biometrics by the Botanic Gardens 2019 - external event
29 Nov 2019 Data Science and Social Good Symposium - external event
28 Nov 2019 WOMBAT 2019
26 Nov 2019 WA Branch: End of year dinner
26 Nov 2019 Sample Size and Power Calculations - external event
26 Nov 2019 UQ Institute for Social Science Research: Social Cost-Benefit Analysis Course - external event
25 Nov 2019 CPD95 - Bayes on the Beach 2019
21 Nov 2019 Workshop: Pragmatic randomised trial designs for evaluating health policy and practice change interventions - external event
19 Nov 2019 CPD108 - R skills workshops: Building R packages and R Markdown
19 Nov 2019 UQ Institute for Social Science Research: Gathering Qualitative Data Course - external event
19 Nov 2019 Bayesian Logistic Regression in Practice, using R or Autostat - External Event
18 Nov 2019 Webinar: Modelling Molecule Dropout in single cell RNA-seq Experiment Leads to Improved Identification of Marker Genes
18 Nov 2019 CPD107 - Machine Learning with Python
13 Nov 2019 NSW Branch: Annual Dinner
13 Nov 2019 NSW Branch: Annual Lecture by Prof Ian Marschner
13 Nov 2019 NSW Branch: J. B. Douglas Awards
13 Nov 2019 UQ Institute for Social Science Research: Essential Social Analysis Skills Course - external event
13 Nov 2019 NSW Branch: J.B. Douglas Awards Sponsorship
12 Nov 2019 WA Branch meeting: Prof Cathryn Lewis – Hansford-Miller Fellow 2019
12 Nov 2019 Time Series & Forecasting Symposium (TSF2019), Sydney - external event
8 Nov 2019 UQ Institute for Social Science Research: Program Evaluation Course
7 Nov 2019 Statistical Design and Analysis in Data Science - external event
7 Nov 2019 Statistical Design and Analysis in Data Science - external event
5 Nov 2019 WA Branch Young Statisticians: Meet up with Professor Cathryn Lewis (2019 Frank Hansford-Miller Fellow)
5 Nov 2019 Queensland Branch meeting - November
4 Nov 2019 CPD97- Network meta-analysis and population adjustment for decision-making - CPD97
31 Oct 2019 Vic Branch – Belz Dinner
31 Oct 2019 Vic Branch – Statistics is the Crown Jewel of Data Science (Belz Lecture)
28 Oct 2019 Webinar: An introduction to business analytics beyond statistical analysis
23 Oct 2019 SA Branch Meeting: Dr David Baird VSN NZ Ltd
21 Oct 2019 NSW Branch: October Event by Prof Elizabeth Stuart
21 Oct 2019 B&B Networking Event
21 Oct 2019 CPD105 - Propensity score methods for estimating causal effects in non-experimental studies: The why, what, and how
9 Oct 2019 SSA NSW Young Statisticians & Data Scientist Careers Networking
8 Oct 2019 WA Branch: Displaying Uncertainty and Risk - Dr John Henstridge
3 Oct 2019 Randomization, Bootstrap and Monte Carlo Methods in Biology - external event
1 Oct 2019 SSA-Event: YSC2019 Dinner - Kingston Hotel
1 Oct 2019 Queensland branch meeting: Automated Technologies for Systematic Review & Meta-Analysis
1 Oct 2019 SSA-Event: Young Statisticians Conference 2019
30 Sep 2019 CPD102 - SSA Canberra/YSC Event: Pre-Conference Trivia Night!
30 Sep 2019 CPD101- Mediation Analysis Using Potential Outcome Framework
30 Sep 2019 CPD103 - Maximising the use of Australian Bureau of Statistics Data Products and Analysis Tools
30 Sep 2019 CPD98- Communicating with R Markdown
26 Sep 2019 SA Branch Meeting: Peter Kasprzak
24 Sep 2019 NSW Branch: A notion of depth for curve data by Dr Pierre Lafaye de Micheaux
24 Sep 2019 Vic Branch – Young Statisticians Showcase 2019
23 Sep 2019 CPD106- Advanced R skills: Introduction to Shiny and Building R Packages
17 Sep 2019 SSA Webinar with Noel Cressie: Inference for Spatio-Temporal Changes of Arctic Sea Ice.
10 Sep 2019 WA Branch Meeting - Matt Schneider
5 Sep 2019 Applied Statistics and Policy Analysis Conference, 2019 - external event
3 Sep 2019 Queensland Branch meeting: Shiny showcase
28 Aug 2019 SA Branch Meeting - Dr Kathy Haskard
27 Aug 2019 Vic Branch – Detecting botnet activity using machine learning
20 Aug 2019 Talk on the QUT Digital Observatory
19 Aug 2019 Oceania Stata Conference - external event
18 Aug 2019 ISI 2019 – 62nd ISI World Statistics Congress - external event
13 Aug 2019 WA Branch Meeting - Joint IBS and SSA - Suman Rakshit
7 Aug 2019 SA Young Statisticians' Career Event
7 Aug 2019 2019 International Conference and Workshops on Survey Research Methodology - external event
6 Aug 2019 NSW Branch: Gender and Cultural Bias In Student Evaluations of Teaching at Universities by A/Prof Yanan Fan
24 Jul 2019 SA Branch Meeting - Dr Murthy N Mittinty
24 Jul 2019 The Research School on Statistics and Data Science 2019 (RSSDS2019) - external event
18 Jul 2019 Vic Branch - Tutorial on sequential Monte Carlo methods in statistics
18 Jul 2019 Minitab Insights Event Australia - external event
17 Jul 2019 Statistical Tools for the Pharmaceutical Industry - external event
9 Jul 2019 (Cancelled) WA Branch Meeting
9 Jul 2019 SSA-QLD Career Seminar: Lead With Statistics
7 Jul 2019 34th International Workshop on Statistical Modelling (IWSM2019) - external event
4 Jul 2019 Gaining skills in biostatistical consultancy- CPD94
3 Jul 2019 R skills workshops: R Markdown and Building R packages
2 Jul 2019 Tutorial on Sequential Monte Carlo methods in Statistics
1 Jul 2019 Computational and Applied Statistics (CAS 2019) - external event
30 Jun 2019 42nd Mathematics Education Research Group of Australasia (MERGA) Conference 2019 - external event
28 Jun 2019 Semiparametric regression with R - CPD99
26 Jun 2019 SA Meetup event: What went wrong with the polls? Do statisticians have a role to play?
25 Jun 2019 Vic Branch - Mentoring Breakfast
19 Jun 2019 Systematic reviews & meta-analysis of prognosis studies
11 Jun 2019 WA Branch Meeting - Dr Adriano Polpo - Hypothesis Tests: Using Adaptive Significance Levels for Decisions
11 Jun 2019 Data science helping to create a better justice system - an ACEMS Public Lecture at UTS
29 May 2019 SA Branch Meeting - Dr Beben Benyamin & Dr Ang Zhou
28 May 2019 Vic Branch – A recipe for quantifying the impact of prevention
28 May 2019 ICORS-LACSC 2019 - external event
16 May 2019 Fast algorithms and modern visualisations for feature selection - CPD96
14 May 2019 WA Branch Meeting - Young Statisticians Meeting
7 May 2019 QLD branch - Multimorbidity: Measurement for Health related Quality of Life and Health service use
7 May 2019 Chief Data & Analytics Officer Exchange - external event
4 May 2019 Data Day- Melbourne - external event
2 May 2019 Data Day- Sydney - external event
30 Apr 2019 Vic Branch – Reproducibility and Open Science
29 Apr 2019 Spatio-Temporal Statistics with R
17 Apr 2019 SA Branch Meeting - Professor Michael Sorich
9 Apr 2019 WA Branch Meeting - Prof Inge Koch
2 Apr 2019 QUEENSLAND ORDINARY BRANCH MEETING
2 Apr 2019 QUEENSLAND AGM
27 Mar 2019 SOUTH AUSTRALIA AGM
19 Mar 2019 Vic Branch – AGM + Statistics with industry: demonstrating impact
11 Dec 2018 Queensland Xmas Party
26 Sep 2018 Young Statisticians’ Workshop 2018
25 Sep 2018 Urban Modelling and Understanding with Machine Learning
11 Sep 2018 Young Statistician Careers Seminar
5 Sep 2018 Workshop: Semiparametric Regression with R with Matt Wand
28 Aug 2018 SSA Biostatistics Networking Event
26 Aug 2018 International Society for Clinical Biostatistics and Australian Statistical Conference 2018

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