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To have your event added to this list, please forward the event details, including url, to eo@statsoc.org.au.

Upcoming events

    • 10 Nov 2020
    • 5:30 PM - 7:00 PM (UTC+08:00)
    • Kim E. Beazley Lecture Theatre, Murdoch University, Perth, Western Australia
    • 250

    Optimisation in Practice

    Professor Ryan Loxton
    School of Electrical Engineering, Computing, and Mathematical Sciences, Curtin University

    6:00 ᴘᴍ on Tuesday 10th November 2020
    Kim E. Beazley Lecture Theatre
    Murdoch University, Western Australia


    Abstract

    Optimisation has numerous applications in business and industry, but there is a big mismatch between the optimisation problems studied in academia (which tend to be highly structured problems) and those encountered in practice (which are non-standard and highly unstructured). Real-world optimisation problems are typically enormous in scale, with hundreds of thousands of inter-related variables and constraints, multiple conflicting objectives, and numerous candidate solutions that can easily exceed the total number of atoms in the solar system. This talk gives an overview of the presenter’s experiences in building optimisation models and practical algorithms in the oil and gas, mining, and agriculture sectors. Some of this work has led to journal articles that bridge the gap between industry and academia.

    About the Speaker

    Ryan Loxton is an ARC Future Fellow in the School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University. Ryan has co-authored over 60 journal papers in the areas of optimisation, operations research, and control theory, and he has led mathematical research projects with many companies including Woodside Energy, Vekta Automation, Fleetcare, and Global Grain Handling Solutions. Most recently, Ryan helped establish the ARC Industry Training Centre for Transforming Maintenance through Data Science, which is hosted by Curtin University and is co-funded by the federal government and industry partners Alcoa, BHP Billiton, and Roy Hill. Ryan was a joint winner of this year’s Christopher Heyde Medal from the Australian Academy of Sciences.Ryan Loxton is an ARC Future Fellow in the School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University.  

    Refreshments and Dinner

    Members and guests are invited to mingle over wine and cheese from 5:30 ᴘᴍ onwards in the Kim E. Beazley Lecture Theatre. Following the meeting you are invited to dine with fellow attendees at a nearby restaurant; please RSVP to Brenton Clarke B.Clarke@murdoch.edu.au by 11 am Tuesday 10th November.

    Meeting directions

    Parking is free at the Murdoch University campus after 5:00 ᴘᴍ in the red and green zones (avoid the reserved and service bays). We suggest parking in Car Park 3 (searchable in Google Maps) that can be entered from campus entrance B or C on South St; those parking here should walk south-west towards Bush court then up the stairs when seen.

    The Kim E. Beazley Lecture theatre entrance with glass doors is on the south side of Bush Court. The approximate location can be seen at this Google Maps link.

    Alternatively VIEWING OPTIONS

    We are establishing whether this meeting will be avaiable over Zoom or recorded for future viewing by members.

    Visitors are welcome to attend this branch meeting.

    For further information please contact the Branch Secretary, Rick Tankard, Murdoch University.
    He can be reached by email at rick.tankard@murdoch.edu.au or by phone at (08) 9360 2820.

    • 11 Nov 2020
    • (UTC+11:00)
    • 12 Nov 2020
    • (UTC+11:00)
    • 2 sessions
    • Online
    • 0
    Join waitlist

    [UPDATE] Thank you for your interest. This workshop is now fully booked out. Please put your name on the waiting list in case for cancellations. We will likely re-run this workshop in the week beginning 13th April 2021 (details to come). We will notify those on the waiting list when this workshop next becomes available.

    ===========================

    Statistical Society of Australia warmly invites you to a workshop on data visualisation with R, taught by Prof. Di Cook and Dr. Emi Tanaka.

    This is a repeat of the July workshop. Please note there may be slight changes based on past participant feedback.

    About the workshop:

    Data visualisation is a key statistical tool for effective communication and to understand aspects of data and models. The statistical language R is used widely for data analysis and visualization, e.g. the BBC Visual and Data Journalism team uses ggplot2 R-package to create production-ready charts. This workshop (on Day 1) will teach you how to create production-ready graphics using the grammar of graphics implemented in ggplot2 R-package. In addition, the workshop (on Day 2) will teach you how to construct more complex plots, including maps, and discuss inference for statistical graphics to understand if what we see in a plot is really there. The workshop will be hands-on with plenty of practical examples.

    About the presenters:

    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 focussing 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. 

    Emi Tanaka is a Lecturer in Statistics at Monash University and the Vice President of SSA Vic. She is currently working on a statistical theory for conducting inference using data plots and is an early career researcher in multi-level modelling, and experimental design. She is an experienced and enthusiastic R user and instructor, and regularly teaches university courses and workshops to the broader community on data visualisation, including ggplot2.

    Target audience:

    Day 1 is suitable for those who know R but are not familiar or comfortable with using ggplot2 or would like a refresher on ggplot2. 

    Day 2 is aimed for those that have familiarity with ggplot2 but would like to delve deeper into advanced plotting techniques, including interactive plots and animating plots, and using plots for inference. 

    Learning objectives:

    Day 1: Dipping Your Toes into Data Visualization with R

    Presented by Emi Tanaka

    • Review of tidy data format

    • Basics of the grammar of graphics

    • Drawing the basic data plot types (barchart, pie chart, histogram, density plot, scatterplot, boxplot) utilising a range of common geoms and variable mappings

    • Choosing colour wisely

    • All about scales, transforming data, setting limits, changing coordinate systems, axis specifications, ordering levels of categorical axes

    • Jazzing up your plot with different themes, plot annotations and combining plots together to make a publication-ready plot

    Day 2: Diving Deeper into Data Visualization with R

    Presented by Di Cook

    • Check your knowledge, a review of basic plotting with the grammar

    • Expanding your graphics toolbox to mapping, making choropleth maps, using map images as a base

    • Making your plots speak. Adding interactive elements including mouse-over labels, and sliders for controlling parameters, using plotly. Animating plots using gganimate.

    • Learn how to decide on the best plot design for a problem, and how to  determine if what you see is a real structure.  

    Requirements:

    Day 1

    • basic R knowledge (e.g. you have used R to load data, create simple visualisations, perform basic analyses and write simple functions or more specifically, you are familiar with concepts in Cookbook for R by Winston Chang)

    • basic statistics (e.g. simple linear regression, hypothesis testing, basic summary statistics and plots)

    • computer (with ability to install R and R-packages), microphone and web camera 

    • stable internet connection

    • Install the video conferencing software, zoom and know how to use zoom

    Day 2:

    • Day 1 requirements

    • Completed Day 1 OR know basic ggplot2

    Desirable:

    • Know about tidy data (i.e. importing data and putting data into the right format for plotting)

    • Some familiarity with tidyverse

    Timetable

    Please note that we may modify the schedule slightly after feedback from our July workshop.

    Day 1

    1:30pm  3.00pm (1.5 hours)

    Session 1

    3.00pm  3.30pm

    Break / networking over virtual morning tea

    3.30pm  5:00pm (1.5 hours)

    Session 2

    12:30pm

    End of first day

    Day 2

    1.30pm  3.00pm (1.5 hours)

    Session 1

    3.00pm 3:30pm

    Break / networking over virtual morning tea

    3:30pm  5:00pm (1.5 hours)

    Session 2

    5:00pm

    End workshop


    Deadlines: Early Bird registration closes on
     22 Sep 2020. Regular registrations close on midnight on 3 Nov 2020.

    Expenses:

    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please note that the Society will not be held responsible for any financial loss incurred due to a workshop cancellation.

    Financial Support:

    Financial support for SSA Vic members can be sought. For further information, please see: https://sites.google.com/view/ssavicworkshopfinsup.

    Cancellation policy:

    Cancellations received prior to 20 Oct 2020 will be refunded, minus a $20 administration fee. From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au..

    Contact:

    Please contact the organisers: Rheanna Mainzer (rheanna.mainzer@gmail.com), Lidija Turkovic (lidijat@gmail.com), and Emi Tanaka (dr.emi.tanaka@gmail.com) for further details.

    • 11 Nov 2020
    • 4:00 PM - 5:00 PM (UTC+10:00)
    • via Zoom, time is in AEDT
    Register

    The Bayesian Section of the SSA is pleased to announce the following webinar 

    Computing Bayes: Bayesian Computation from 1763 to the 21st Century 

    with Gael M. Martin 

    on 11 November 2020 at 4:00PM (AEDT).         

    About this webinar:

    The Bayesian statistical paradigm uses the language of probability to express uncertainty about the phenomena that generate observed data. Probability distributions thus characterize Bayesian inference, with the rules of probability used to transform prior probability distributions for all unknowns - models, parameters, latent variables - into posterior distributions, subsequent to the observation of data. Conducting Bayesian inference requires the evaluation of integrals in which these probability distributions appear. Bayesian computation is all about evaluating such integrals in the typical case where no analytical solution exists. This paper takes the reader on a chronological tour of Bayesian computation over the past two and a half centuries. Beginning with the one-dimensional integral first confronted by Bayes in 1763, through to recent problems in which the unknowns number in the millions, we place all computational problems into a common framework, and describe all computational methods using a common notation. The aim is to help new researchers in particular - and more generally those interested in adopting a Bayesian approach to empirical work - make sense of the plethora of computational techniques that are now on offer; understand when and why different methods are useful; and see the links that do exist, between them all.

    About the presenter:

    Gael Martin is a Professor of Econometrics in the Department of Econometrics and Business Statistics at Monash University, Australia, and was an Australian Research Council Future Fellow from 2010 to 2013. Her primary research interests have been in the development of simulation-based inferential and forecasting methods for complex dynamic models in economics and finance. Time series models for long memory, non-Gaussian - including discrete count - data have been a particular focus, with state space representations being central to much of that work. The development of Bayesian simulation-based methods has been a very important part of her research output, including work on the newer computational methods such as approximate Bayesian computation. Her interests centre not only on methods of inference, but on the impact of inferential technique on probabilistic forecasting, and the accuracy thereof. Misspecification of the predictive model has been a particular focus of late, including the development of a `loss-based’ paradigm for prediction that delivers accurate predictions when the predictive model is wrong. She is currently an Associate Editor of Journal of Applied Econometrics, International Journal of Forecasting (IJF) and Econometrics and Statistics, and was a guest editor for a special issue of IJF on Bayesian Forecasting.
    Her personal webpage, which includes all published work and some other current projects, is available here.   


    Registration

    This event is reserved for members of SSA and NZSA. Attendance is free but you will need to register. After registration you will receive a Zoom link.

    The webinar will be recorded and the recording made available to members on the SSA website in due course.

    Cancellation Policy

    Our Guarantee
    Our goal is to provide truly exceptional offerings and service, and we won't be happy until you are. If any programs, products or services of SSA do not fulfill our promise, we will make the situation right.

    Event Cancellation or Postponement
    SSA reserves exclusive right to modify, postpone/reschedule or cancel programs for any reason, including but not limited to emergency, inclement weather or other 'acts of God'. If there is an event cancellation, every attempt will be made to reschedule, and registration fees will be applied to the rescheduled event date. Any travel, lodging, or incidental expenses incurred related to a cancelled event cannot be refunded under any circumstances. If a cancelled event cannot be rescheduled, SSA will issue a refund.

    Consent to Use of Photographic Images
    Registration and attendance at, or participation in, SSA meetings and other activities constitutes an agreement by the registrant to the use and distribution of the registrant or attendees' image or voice in photographs, videotapes, electronic reproductions and audiotapes of such events and activities by SSA and other third parties.

    Questions?

    If you have any questions please contact us.  If you do not receive your confirmation email after registration, please check your spam folder. If it is not there either, please contact Marie-Louise Rankin.

    • 17 Nov 2020
    • 5:00 PM - 5:30 PM (UTC+11:00)
    • Online via Zoom
    Register

    Town Hall and Special General Meeting

    The Victorian Branch is holding a Special General Meeting (SGM) to hear from its members and to seek approval for proposed changes to its Rules. If you are a Victorian Branch member, you should have received the proposed changes via email.

    Changes to the Rules

    The Victorian Branch Council has proposed changes to the Rules that govern the Branch. Once a quorum has been reached we will have a vote to pass the proposed amendments.

    Town Hall meeting

    We are always seeking feedback from our members on how we've been doing, whether we're delivering events and services that meet your needs, and what you would like to see us doing in the future. In the Town Hall part of the meeting we'll be asking for feedback from members.

    Immediately following the SGM, we will have our final monthly event of the year. See this page for the details (n.b. the Zoom meeting link for will be the same for both the SGM and the event that follows).

    • 17 Nov 2020
    • 5:30 PM - 7:00 PM (UTC+11:00)
    • Online
    Register
    The number of people working remotely increased dramatically after the first COVID-19 restrictions were put in place. Should statisticians continue to work from home even after restrictions are eased?

    Join us for a fun virtual debate, where we have the pleasure of hosting four speakers, at different stages of their career to give us their opinions on the topic. Debate will involve two teams that will present their arguments on each side of the issue.

    Each speaker will give a 10 minute talk followed by a 20 minutes of panel discussion and Q&A from the audience. After the event, we will retire to a social gathering platform, that isn’t Zoom! There we will do some socialising, as well as have an opportunity for audience members to freely approach each other and the speakers.

    Speakers

    Emily Karahalios
    Karen Lamb
    Thomas Lumley
    Andrew Robinson

    • 20 Nov 2020
    • (UTC+10:00)
    • 21 Nov 2020
    • (UTC+10:00)


    This two day short course will provide participants with a good understanding of statistical techniques appropriate for analysing longitudinal and clustered data. Using provided medical and epidemiological datasets, participants will undertake a series of tasks using STATA statistical software which will enable them to gain experience in these techniques and the interpretation of results.

    Topics include:

    •             History of Statistical Models
    •             Using STATA
    •             Mixed and Multi-level Models
    •             Generalised Estimating Equations

    Who should attend?

    Those who have an interest in advanced training in the statistical analysis of health and medical data such as clinicians, epidemiologists and public health researchers. Those working in other areas such as social science and health economics may also benefit.

    Workshop dates

    20th and 21st November (2 day online workshop)

    Cost

    Standard registration - $1000
    HDR student - $500

    About the Lecturer

    Dr Haider Mannan is a biostatistician at Translational Health Research Institute and the School of Medicine, Western Sydney University. His biostatistical expertise is wide including regression models for clustered and longitudinal data (e.g. multilevel mixed effects, GEE models), continuous, binary (e.g. logistic regression), survival (e.g. Cox regression, Weibull regression), categorical and ordinal outcomes, nonparametric methods, analysis of small studies and state transition models (e.g. Markov simulation/model, latent Markov model), to note a few, all in the context of epidemiological/health studies. He has published several software in peer reviewed journals for disease risk modelling using SAS macros. He has published two monographs,55 peer reviewed articles in epidemiology/biostatistics with 25 as first authored and 24 in category 'A' journals including International Journal of Obesity, Obesity, Appetite, International Journal of Eating Disorders, American Journal of Epidemiology, BMJ Open, Preventive Medicine, European Journal of Preventive Cardiology, Annals of Epidemiology, European Journal of Nutrition, Accident Analysis and Prevention and Statistical Methods in Medical Research. He teaches and coordinates a biostatistics unit for Master of Epidemiology, MPH and MHSc courses during spring semester. This unit focuses on application of commonly used multivariate statistical methods in public health. He has excelled in teaching this unit having obtained a perfect score of 5 in spring 2019. He also teaches introductory biostatistics to MBBS and MD students, conducts internal workshops on multilevel and multivariate regression models.

    He earned a Ph.D. in biostatistics and epidemiology from University of Western Australia with distinction in 2008, and then worked for 6 years at the Monash University Department of Epidemiology and Preventive Medicine and James Cook University as Senior Research Fellow.

    Registration

    Deadline is November 18

    Here is the link for registration: 

    https://onestop.westernsydney.edu.au/OneStopWeb/EventsODeputyVice-ChancellorResearchInnovation/booking?UDS_ACTION_DATA=ZltddUM0WgFOKlcES0JDB15VQg1BWEUbWEA2LAJAV0MNQl9R


    Refund policy:

    Refunds available 2 working days before workshop delivery

    For more information:  Please email: westernxed@westernsydney.edu.au


    • 24 Nov 2020
    • 12:30 PM - 2:00 PM (UTC+11:00)
    • Online
    Register

    SSA Canberra invites you to attend this year's Knibbs lecture, which will be presented by Prof. Raymond Carroll (Texax A&M). The lecture will also celebrate the 60th birthday of Prof. Alan Welsh (ANU), and his contributions to statistics. 


    Date:  Tuesday 24th November

    Time: 12:30pm-1:45pm AEDT.  

    Talk title: A Personal Tour: The Complex Nature of Nutrient and Food Intakes, and the Effects this Complexity has on Understanding Dietary Distributions and Their Effects on Mortality and Chronic Disease 

    Abstract: I have spent many years developing statistical methods to understand how to measure dietary intakes in a population and how to relate such measures to mortality and chronic diseases. In animal experiments, clinical trials of different dietary patterns have been performed by my colleagues at Texas A&M and show, in stunning fashion, that for example a fish oil enhanced diet is protective against colon cancer, DNA damage, deleterious gene expression, etc., when compared to a corn oil enhanced diet (think potato chips).

    In humans, the statistical questions are much more difficult, because it is impossible, in current practice, to measure an individual’s long-term average dietary intakes across multiple foods and nutrients. This impossibility has many facets, which I will briefly review. This statistical issue, along with the media focus on dietary bullets (kale anyone?), has resulted in massive confusion, and sometimes silly conclusions. For example, what % of U.S. children eat an alarmingly poor diet: a simplistic analysis says 30%, but a more nuanced one that accounts for the measurement properties of dietary instruments says 8%, a massive difference. My aim in part is to show that focusing on dietary patterns, instead of magic bullets, leads to far more robust statistical conclusions than focusing on one potential bullet at a time.

    Biography: Raymond J. Carroll is Distinguished Professor of Statistics and Nutrition at Texas A&M University, and Distinguished Professor at the University of Technology Sydney, Australia. He was the first statistician to receive a U.S. National Cancer Institute MERIT Award. He is the Director of the Texas A&M Institute for Applied Mathematics and Computational Science. He served as editor of Biometrics and the Journal of the American Statistical Association. He has won many honors in the profession, including the COPSS Presidents’ Award and the Fisher Award and Lecture. He is a member of the AAAS.

    Prof. Carroll’s research has long been diverse, and has focused on complex data scenarios, recently including methodology for multivariate functional data of different types, data integration across platforms/outcomes, uncertainties of predictor measurement (measurement error), gene-environment interactions, general semiparametrics, molecular biology of nutrition, radiation epidemiology and the risk of thyroid cancer, and physical activity. He is deeply involved in nutritional surveillance, nutritional epidemiology and dietary patterns, where the data complexity is immense due to the multivariate nature of dietary intakes and the uncertainties of dietary ascertainment.

    • 25 Nov 2020
    • 6:00 PM - 8:00 PM (UTC+10:00)
    • Zoom

    NSW Nov Branch meeting by Stephen Woodcock. Details to follow shortly.

    • 26 Nov 2020
    • 3:00 PM (UTC+10:00)
    • 27 Nov 2020
    • 10:00 AM (UTC+10:00)
    • via Zoom, times are in AEDT
    • 8
    Register


    The SSA is pleased to offer this two-day workshop to selected volunteers, nominated by branches and sections. This event is sponsored by the Australian Bureau of Statistics.

    Communication Training
    This workshop will focus on the core elements of communication. Participants will be able to apply these tools to any communication challenge. How audiences engage will be a key part of the program and will learn techniques for ongoing improvement.

    Dates
    Thursday 26th November 3-4pm & Friday 27th November 9-10am (AEDT)

    presented by Dr Shane Huntington OAM.

    Based in Melbourne, Australia, Shane has been providing consulting services in communication and strategy for over 20 years. As a successful broadcaster, business owner, academic and strategist he draws together experience from multiple sectors, offering clients a more detailed and analytical approach than competitors. Shane has trained thousands of people to communicate more effectively, especially in fields of research. His unique and engaging style has led to him delivering programs to some of Australia’s most prestigious institutions.

    This is a complimentary workshop for selected volunteers of SSA. Registrants need to use the voucher code provided by their branch/section/ABS to be able to proceed with the booking.



     


    • 27 Nov 2020
    • 1:00 PM - 2:00 PM (UTC+11:00)
    • via Zoom
    Register

    The Statistical Society of Australia is delighted to invite you to the following webinar

    The Advent of "Grammar": Bridging Statistics and Data Science for the Design of Experiments

    presented by Dr Emi Tanaka

    on 27 November 2020 at 1 pm AEDT via Zoom.

    About this webinar
    Statistics is a valuable tool for almost all scientific fields and industry to make sense of their data, yet as a field we lag behind to remain relevant, getting superseded by the so-called data science. What differentiates statistics from data science? And how does the design of experiments fit in with data science?

    In this webinar, I will talk about the concept of the "grammar" and the momentum it is gaining to make data analysis more accessible to a diverse group. I'll then present my prototype to the "grammar of experimental design" - a framework to construct the design of comparative experiments that cognitively enforces the experimental structure. I'll explain some principles behind this prototype, showcase how my developmental R-package edibble will work, and how I think it helps to bridge the gap between experimental design theory and practice for the wider community.

    About the presenter
    Dr. Emi Tanaka is an applied statistician whose primary interest is to develop impactful methods and tools that can readily be used by practitioners. Her research interests include mixed models and experimental designs, motivated primarily by the problems in bioinformatics and agricultural sciences. She is a lecturer at the Department of Econometrics and Business Statistics, Monash University and is currently the Vice-President of the Statistical Society of Australia Victorian Branch.

    Registration
    This event is free, but you will need to register.

    Our Guarantee
    Our goal is to provide truly exceptional offerings and service, and we won't be happy until you are. If any programs, products or services of SSA do not fulfill our promise, we will make the situation right.

    Event Cancellation or Postponement
    SSA reserves exclusive right to modify, postpone/reschedule or cancel programs for any reason, including but not limited to emergency, inclement weather or other 'acts of God'. If there is an event cancellation, every attempt will be made to reschedule, and registration fees will be applied to the rescheduled event date. Any travel, lodging, or incidental expenses incurred related to a cancelled event cannot be refunded under any circumstances. 

    Consent to Use of Photographic Images
    Registration and attendance at, or participation in, SSA meetings and other activities constitutes an agreement by the registrant to the use and distribution of the registrant or attendees' image or voice in photographs, videotapes, electronic reproductions and audiotapes of such events and activities by SSA. 

    • 30 Nov 2020
    • (UTC+10:00)
    • 3 Dec 2020
    • (UTC+10:00)
    • Online - https://bis.amsi.org.au/


    In 2020, AMSI BioInfoSummer is going virtual! Hosted by The Australian National University (ANU), attendees will participate online over the four-day program to develop their bioinformatics skills, national networks and employability.

    Join with other advanced undergraduate and postgraduate students, researchers and professionals from the mathematics, statistics, medical sciences and information technology disciplines to explore bioinformatics under the following themes:

    • Single cell / transcriptomics
    • RNA biology
    • Long read sequencing
    • Biomedical optimisation / data science

    Featuring presentations, workshops and program extras from the best in the bioinformatics field from Australia and abroad, the AMSI BioInfoSummer 2020 program is jam packed. Start each morning with a mix of computational and biology focused lectures and research talks. Then develop your skills during the hands-on workshops. Round out your week with an interactive careers session, ePoster competition and public lecture.

    Full four-day conference registrations start from $60!

    Find out more!


    • 1 Dec 2020
    • (UTC+11:00)
    • 2 Dec 2020
    • (UTC+11:00)
    • 2 sessions
    • Online, times are in AEDT
    • 7
    Register

    The Statistical Society of Australia warmly invites you to a workshop on

    Data Wrangling with R, taught by Dr. Emi Tanaka.

    About the workshop:

    Data wrangling is one of the first key steps necessary before downstream analysis such as visualization or modelling. This workshop will teach you how to wrangle data in the statistical language R using the tidyverse suite of packages, i.e. dplyr, tidyr, stringr, lubridate and forcats. This will include learning about the concept of tidy data and learning the new verbs in dplyr v1.0.0 released early this year. The workshop will be hands-on with plenty of practical examples and time for participants to work through exercises to put what they learnt into practice. 

    About the presenter:

    Emi Tanaka is a Lecturer in Statistics at Monash University and the Vice President of the SSA Victorian Branch. Her research interest is in producing useful statistical tools for practitioners, motivated primarily by applications in bioinformatics and agriculture. She is an experienced and enthusiastic R user and instructor, and regularly teaches university courses and workshops to the broader community on a variety of R-related workshops.

    Target audience:

    The workshop is suitable for those who know R but are not familiar or comfortable with using the tidyverse suite of R packages to do data wrangling.

    Learning objectives:

    ·         Transform messy data into tidy data using various R packages

    ·         Learn to pivot data from longer to wider format and vice versa using the tidyr R package

    ·         Complex data wrangling with the dplyr R package

    ·         All about factors and how to manipulate it easily using the forcats R package

    ·         Dealing with dates using the lubridate R package

    ·         Manipulating characters with the stringr R package

    Requirements:

    ·         Basic R knowledge (e.g. you have used R to load data, create simple visualisations, perform basic analyses and write simple functions or more specifically, you are familiar with concepts in  Cookbook for R by Winston Chang)

    ·         Basic statistics (e.g. simple linear regression, hypothesis testing, basic summary statistics and plots)

    ·         Computer (with ability to install R and R-packages), microphone and web camera

    ·         Stable internet connection

    ·         Install the video conferencing software, Zoom and know how to use Zoom

    Desirable:

    ·         Know about tidy data

    ·         Some familiarity with tidyverse or ggplot2

    ·         Know about regular expressions

    Timetable

    Please note times are in AEDT.

    Day 1

    1:30pm  3.00pm (1.5 hours)

    Session 1

    3.00pm  3.30pm

    Break / networking over virtual afternoon tea

    3.30pm  5:00pm (1.5 hours)

    Session 2

    5:00pm

    End of first day

    Day 2

    1.30pm – 3.00pm (1.5 hours)

    Session 1

    3.00pm  3:30pm

    Break / networking over virtual afternoon tea

    3:30pm  5:00pm (1.5 hours)

    Session 2

    5:00pm

    End workshop


    Expenses

    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please note that the Society will not be held responsible for any financial loss incurred due to a workshop cancellation.

    Cancellation Policy

    Cancellations received prior to 6 Nov 2020 will be refunded, minus a $20 administration fee. From then onwards no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to eo@statsoc.org.au.


    • 2 Dec 2020
    • (UTC+11:00)
    • 4 Dec 2020
    • (UTC+11:00)
    • Sydney, Australia

    The Australian Consortium of Social and Political Research Incorporated (ACSPRI) will host it's 7th Social Science Methodology Conference on the 2nd to 4th of December at The University of Sydney.

    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 two 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).

    More details will appear on the conference website soon. 

    • 4 Dec 2020
    • 5:00 PM (UTC+11:00)
    • Submission Form: https://tinyurl.com/ssatshirtcomp

    Are you a Statistician by day and a Renaissance Artist by night? Are you bursting with creativity and need an outlet? Then we want to hear from you!

    We need the help of our members in designing our new and official SSA t-shirt. So, we’re having a T-shirt Design Competition!

    The winner will receive $100 AUD gift card. Furthermore, the winner will be acknowledged in promotional material and wherever the t-shirts are sold (e.g., conferences).


    Participants

    The competition is open to ALL SSA Members. If you are not an SSA Member, think about all the cool stuff we do and join us. Click here to be a part of our amazing society.


    The Rules

    1) The design must be in-line with SSA branding. This means that you should use a colour palette like that used by the SSA (see below).



    2) The design must be suitable to be printed on a white background
    3) The design must be yours and an original piece of artwork
    4) The design must, naturally, be related to statistics
    5) The design should not contain any offensive imagery/words or be copyrighted material

    Submit a design that you feel best represents the SSA. We encourage the use of creativity and humour in your designs. For example, one of our favourite t-shirt designs states “I’m a statistician. To save time, let’s just assume that I’m never wrong.” It’s funny and true!


    File specifications

    We prefer to receive submissions as .TIF formatted images. Ensure images have a resolution of at least 300 dpi.


    Deadline and Winner Announcement

    T-shirt designs are to be submitted by COB Friday 4th December 2020. The winner will be announced Thursday 10th December 2020. Announcements will be made via SSA's Twitter and Facebook accounts. The winner will also be notified directly via e-mail. The designs will be judged by the SSA Media Team.


    Submissions

    Click this form to answer a few questions and submit your design.

    If you have any issues, concerns or questions, please contact the SSA Media Team via Twitter or e-mail the ECSSN Chair.


    • 7 Dec 2020
    • 11:00 AM (UTC+11:00)
    • 9 Dec 2020
    • 2:00 PM (UTC+11:00)
    • via Zoom, times are in AEDT
    • 447
    Register

    The Statistical Consulting Network of the SSA is pleased to invite you to the following event:

    Statistical Consulting Network 2020 Meeting

    held on 7 - 9 December 2020 from 11am-2pm AEDT(each day).

    The Statistical Consulting Network 2020 Meeting is a virtual event where statistical consultants can connect, present their ideas, discuss best practice, and more!  The event will feature:

    • keynote talk by Doug Zahn (Florida State)
    • Contributed talks
    • Lunchtime discussions on topical issues in consulting
    • A virtual display hall to view contributed speed talks and posters 

    The conference will be hosted in a Slack workspace, with talks held in Zoom meetings.  Slack is an intuitive channel-based messaging platform that makes it easy for conference attendees to connect with each other, publicly and privately, and to access and engage in a range of conference activities in an organised way.  The Statistical Consulting Network is part of the Statistical Society of Australia, a forum supporting consultants in the Australia/New Zealand region.

    The call for contributed presentations is open – submit your abstract now! 

    Presentations are welcome on any topic of interest to the statistical consulting community, including but not limited to:

    • Case studies
    • Challenges of private consulting
    • Dealing with the challenges of remote consulting
    • Human side of consulting
    • Research in statistical consulting
    • Strategies for consulting
    • Short course teaching

    A focus of the conference is interaction, and each day there will be an hour dedicated to lunchtime discussions around topical issues in consulting.  If you have something you would like to add to the agenda, let us know at StatConsultingNetwork.SSA@gmail.com.

    Abstract submission closes midday (AEST) September 30 2020.

    For further details, go to the conference website. 

    Fees

    Early Bird- Registration and payment before or on 31 October 2020:

    Early Bird SSA/NSZA member*

    $50

    Early Bird SSA/NZSA non-member

    $100

    Early Bird SSA/NZSA student member*

    $50

    Early Bird SSA/NZSA non-member student

    $80


    Final registration deadline: Before or on 25 November 2020:

    SSA/NSZA member*

    $60

    SSA/NZSA non-member

    $120

    SSA/NZSA student member*

    $60

    SSA/NZSA non-member student

    $100

    *SSA membership is available here. NZSA membership is available here.

    Registration provides access to the Slack workspace where all talks will be recorded and stored.  Removal of recordings can be requested by a speaker.

    Registrants will be asked to confirm that they have read and plan to abide by the conference's Code of Conduct.

    Our Guarantee
    Our goal is to provide truly exceptional offerings and service, and we won't be happy until you are. If any programs, products or services of SSA do not fulfill our promise, we will make the situation right.

    Event Cancellation or Postponement
    SSA reserves exclusive right to modify, postpone/reschedule or cancel programs for any reason, including but not limited to emergency, inclement weather or other 'acts of God'. If there is an event cancellation, every attempt will be made to reschedule, and registration fees will be applied to the rescheduled event date. Any travel, lodging, or incidental expenses incurred related to a cancelled event cannot be refunded under any circumstances. If a cancelled event cannot be rescheduled, SSA will issue a refund.

    Consent to Use of Photographic Images
    Registration and attendance at, or participation in, SSA meetings and other activities constitutes an agreement by the registrant to the use and distribution of the registrant or attendees' image or voice in photographs, videotapes, electronic reproductions and audiotapes of such events and activities by SSA and other third parties.

    Cancellation Policy

    As you will still be able to watch the meeting recordings after the event, we will not be offering any refunds.

    If you have any questions, please write to StatConsultingNetwork.SSA@gmail.com.

    • 11 Jan 2021
    • (UTC+10:00)
    • 5 Feb 2021
    • (UTC+10:00)


    With a record-breaking 171 attendees in 2019, the annual AMSI Summer School is the biggest national event in Australia for honours and postgraduate students in the mathematical sciences.

    In January 2021 this four-week school will be hosted virtually by The University of Adelaide, providing students from across Australia with the opportunity to develop their mathematical skills, meet like-minded people, and network with potential future employers at the Careers Day.

    AMSI Summer School 2021 offers eight exciting subjects by specialist lecturers from around Australia and students can study one or two subject areas including one subject for credit.

    Honours and postgraduate students in the mathematical sciences and cognate disciplines are invited to register their interest for this event, as well as researchers and professionals who may wish to get involved in the program extras offered at the AMSI Summer School.

    To maximise the students’ experience, the School will feature domestic keynote speakers, researchers and/or lecturers, as well as a number of program extras including social events, a special guest public lecture, a careers session, and a Diversity in STEM panel event.

    SSA is a proud sponsor of this event.

    Interested in finding out more about Summer School 2021?

    Join the AMSI Summer School Mailing List  



    • 5 Jul 2021
    • 8:00 AM (UTC+10:00)
    • 9 Jul 2021
    • 6:00 PM (UTC+10:00)
    • Gold Coast Convention Centre, 2684 -2690 Gold Coast Highway, Broadbeach, QLD

    Welcome to the 
    ANZSC 2021 Conference

    The organising committee warmly invites you to the 2021 Australian and New Zealand Statistical Conference, which will take place on the Gold Coast from the 5th to the 9th of July 2021.

    This conference brings together four leading statistical communities in the region – the Statistical Society of Australia, the New Zealand Statistical Association, the International Institute of Business Analysis (Special Interest Group for Business Analytics), and the Australian Conference on Teaching Statistics.

    The aim of this conference is to bring together a broad range of researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

    With these four societies working together there will be strong program components of interest to a wide diversity of academic, government, and industry colleagues. This includes the full spectrum of delegates from those advancing theoretical methodology to those working on industry applications (in traditional and non-traditional statistical areas). Of particular interest is how Big Data continues to impact all of us.

    Information on Keynote Speakers and the Conference program will be available shortly so watch this space for updates.

    The conference will be held at the Gold Coast Convention and Exhibition Centre (GCCEC) situated in the heart of the Gold Coast. From GCCEC, Surfers Paradise (the social hub of the Gold Coast) is 5km to the North, the Star Casino and Pacific Fair are immediately to the South (the largest regional shopping and dining destination in Queensland), the beach (Broadbeach) is just ten minutes walk, and the Broadbeach restaurant complex is immediately to the East (short 5 minutes walk). Social tours can easily be made to the rainforest (such as Tambourine National Park and World Heritage-listed Lamington National Park), to places of Aboriginal Indigenous significance, to Stradbroke Island, and to Australia’s greatest theme parks.

    ANZSC2021 promises to be a truly amazing experience on both a professional and a social level.

    Please check out the official conference website and register your interest here.

    We look forward to seeing you on the Gold Coast in 2021!

    • 11 Jul 2021
    • (UTC+10:00)
    • 15 Jul 2021
    • (UTC+10:00)
    • The Hague, The Netherlands

    The 63rd ISI World Statistics Congress will bring together statisticians and data scientists from academia, official statistics, health sector and business, junior and senior professionals, in an inviting environment.

    The inspiring and interactive programme will provide the platform to learn about the latest developments in statistical research and practice in an informal ambiance. A series of short courses, satellites and other events completes the WSC programme.

    • 27 Sep 2021
    • (UTC+10:00)
    • 28 Sep 2021
    • (UTC+10:00)
    • Strasbourg, France

    Mathematics without Borders

    The Centennial of the International Mathematical Union         

    celebrates the centennial of this historic event.  Up-to-date information regarding the conference can be found here




    • 27 Jun 2022
    • (UTC+10:00)
    • 1 Jul 2022
    • (UTC+10:00)
    • Darwin, Australia

    The inaugural

    Joint Southern Statistical Meetings 2022

    will be held in Darwin from 27 June – 1 July 2022.

    This conference will bring together the leading statistical communities in the region to provide a forum for researchers and practitioners across a variety of statistical disciplines to facilitate the exchange of theory, methods and applications.

    To be kept up to date with our conference planning, please email your details to JSSM2022@gmail.com.

    We invite regional associations to contact us with expressions of interest to be part of this event. If you would like to sponsor JSSM2022 please get in touch as well.

    See you in Darwin in 2022! 

    • 6 Jul 2022
    • (UTC+10:00)
    • 14 Jul 2022
    • (UTC+10:00)
    • St Petersburg, Russia

    The ICM 2022 (International Congress of Mathematicians) will take place 6–14 July 2022 in St. Petersburg, Russia.

    The 19th General Assembly of the IMU will be held in St. Petersburg, on 3–4 July 2022. 
    The official website of the Congress is https://icm2022.org

    • 10 Jul 2022
    • (UTC+10:00)
    • 15 Jul 2022
    • (UTC+10:00)
    • Riga, Latvia

    to be held at the Radisson Blu Latvija Conference & Spa Hotel


Past events

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 CPD98- Communicating with R Markdown
30 Sep 2019 CPD103 - Maximising the use of Australian Bureau of Statistics Data Products and Analysis Tools
30 Sep 2019 CPD101- Mediation Analysis Using Potential Outcome Framework
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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