Events listing - SSA events

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

Upcoming events

    • 23 Sep 2019
    • 9:00 AM
    • 24 Sep 2019
    • 5:00 PM
    • Macquarie University, NSW
    • 24
    Registration is closed

    The SSA and the Department of Mathematics and Statistics, Macquarie University are pleased to offer the following workshops:


    Introduction to Shiny (Monday 23 September):

    Shiny, the new web application framework for R has exploded in popularity in recent years. This framework facilitates the creation of web-based applets that are interactive and thus can be used as a modern supplement for data visualisation, data analysis and more. The shiny framework is built with the R language as a base that can capture all of R's vast library of data and statistical tools. This is paired with behind the scenes html and javascript in shiny enables deployment of statistical data analysis and machine learning onto a modern web browser (desktop, tablet and mobile). Almost any analysis done in R could be ported into shiny for an interactive app. Implementation of the apps can be local, directly on a user's machine or can be deployed for wider consumption on a Shiny server or via a hosting service. The course is intended for participants that have some knowledge of R but no knowledge of shiny or HTML/Javascript is assumed. Participants will learn the structure of a shiny app, how to create their own user interface, making the app reactive to user input, and touch on some more advanced techniques in app creation.

    Building R Packages (Tuesday 24 September):

    This workshop will teach you how to build and develop your own R packages. Beginning by writing a very basic package with documentation, examples, and data, we will then cover package structure (main files and subdirectories: DESCRIPTION, NAMESPACE, R/, man/, inst/, data/) and the features of advanced packages (vignettes/, tests/, src/). The best practices for package development, such as version control via Git and Github, Checking and Releasing packages will also be demonstrated. The official manual, Writing R Extensions, will be referenced throughout.

    The Presenters

    Justin Wishart is a computational statistician/data scientist at Displayr. Before joining Displayr, he earned his PhD in Statistics at the University of Sydney and had appointments at University of Melbourne, UNSW Australia and Macquarie University. He has research interests in semi and non-parametric regression, change point analysis, inverse problems, empirical likelihood and general use of R and its modern extensions such as rmarkdown, shiny and the tidyverse.

    Pierre Lafaye de Micheaux is a Canadian/French/Swiss statistician, born in France in 1973. After two post-docs at the Centre de Recherches Mathématiques de Montréal, and at the Brain Imaging Center of McGill University, he got an Assistant Professor position at Grenoble Alps University in 2003. From 2009 to 2010, he was also an Affiliate Researcher at the Grenoble Neuroscience Institute. In 2009, he moved to the Department of Mathematics and Statistics, Université de Montréal, as an Assistant Professor. He was promoted to the Associate Professor level in 2011. From 2013 to 2014 he was a Senior Visiting Fellow to the Centre for Healthy Brain Ageing (School of Psychiatry) of UNSW Sydney. In 2015, he moved for almost two years to the French Engineering school of Statistics and Analysis of Information (CREST-ENSAI), as a Professor of Statistics. He joined the School of Mathematics and Statistics of UNSW Sydney in 2017.

    Dr Lafaye de Micheaux works on both Mathematical and Applied Statistics, as well as on the development of R packages and on industrial applications (such as Machine Learning or Deep Learning techniques). He (co)-leads three research groups: Dependence Measures, (Neuro)Imaging Genetics and Data Science and IoT.

    Workshop participants are warmly invited to stay around for the SSA NSW Branch’s September meeting, featuring a talk by Dr Lafaye de Micheaux. Refreshments from 6pm, with the talk starting at 6:30pm.

    Cost

    No of Days

    1 Day

    2 Day

    SSA Members

    $200

    $375

    Non-Members

    $545

    $1065

    SSA Student Members

    $150

    $275

    Non Member Students

    $220

    $415

    Early Bird SSA Members

    $150

    $275

    Early Bird Non-Members

    $495

    $965

    Early Bird SSA Student Members

    $100

    $175

    Early Bird Non-Member Students

    $170

    $315

    SSA membership is available for $245 for full membership and $20 for student membership (full-time students only).

    You can register for one or both days.  If you want to register just for one of the workshops, please indicate which one on the registration page.

    Travel Expenses

    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.


    Cancellation Policy

    Cancellations received prior to Wednesday, 16 September 2019 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.

    • 24 Sep 2019
    • 6:00 PM - 7:30 PM
    • 17 Wally's Walk, Macquarie Park NSW 2109

    Venue: 17WW Collaborative Forum (Previously known as C5C), Macquarie University
    17 Wally's Walk, Macquarie Park NSW 2109

    A notion of depth for curve data

    Following the seminal idea of John W. Tukey, statistical data depth is a function that determines centrality of an arbitrary point w.r.t. a data cloud or a probability measure. During the last decades, data depth rapidly developed to a powerful machinery proving to be useful in various fields of science. Recently, implementing the idea of depth in the functional setting attracted a lot of attention among theoreticians and applicants. We suggest a halfspace-based notion of data depth suitable for data represented as curves, or trajectories, which inherits both Euclidean-geometry and functional properties but overcomes certain limitations of the previous approaches. It can be shown that the Tukey curve depth satisfies the requirements posed on the general depth function, which are meaningful for trajectories. Application of the Tukey curve depth is illustrated on brain imaging.

    Biography

    Pierre Lafaye de Micheaux (Lafaye de Micheaux is the surname) is a Canadian/French/Swiss statistician, born in France in 1973. After two post-docs at the Centre de Recherches Mathématiques de Montréal, and at the Brain Imaging Center of McGill University, he got an Assistant Professor position at Grenoble Alps University in 2003. From 2009 to 2010, he was also an Affiliate Researcher at the Grenoble Neuroscience Institute. In 2009, he moved to the Department of Mathematics and Statistics, Université de Montréal, as an Assistant Professor. He was promoted to the Associate Professor level in 2011. From 2013 to 2014 he was a Senior Visiting Fellow to the Centre for Healthy Brain Ageing (School of Psychiatry) of UNSW Sydney. In 2015, he moved for almost two years to the French Engineering school of Statistics and Analysis of Information (CREST-ENSAI), as a Professor of Statistics. He joined the School of Mathematics and Statistics of UNSW Sydney in 2017.

    Pierre Lafaye de Micheaux works on both Mathematical and Applied Statistics, as well as on the development of R packages and on industrial applications (such as Machine Learning or Deep Learning techniques). His main research interests are listed below. He (co)-leads three research groups: Dependence Measures, (Neuro)Imaging Genetics and Data Science and IoT.
    • 24 Sep 2019
    • 6:00 PM - 8:00 PM
    • Theatre 1, Level B1, 207-221 Bouverie St, Carlton VIC 3053

    Join us for three short talks by current PhD students Jiadong Mao, Rushani Wijesuriya and Ravindi Nanayakkara.

    6:00pm – Talks – Theatre 1, Basement of 207-221 Bouverie St, University of Melbourne

    7:15pm – Drinks – Prince Alfred Rooftop & Bar, Carlton
    (SSA Vic members receive a free drink!)

    Talk 1: Jiadong Mao – Nonparametric estimation for streaming data

    In the era of big data, huge volumes of data are continuously collected in time-varying environment (termed streaming data). A model for streaming data should be fast to compute and adaptive to the changing nature of the data. These two objectives are hard to achieve simultaneously. Conventional statistical methods often assume that all data have already been collected and stored in the computer memory. Existing models for streaming data, are mostly proposed by computer scientists and only address the computational challenge. Without knowing their theoretical properties, it is hard to predict when these methods will succeed.
    We develop computationally efficient models with theoretical guarantee, with more flexible nonparametric models, and investigate their theoretical properties using infill asymptotics. Computational properties of the models are shown using computer simulations and then applied to some real data examples to show their power for modelling real-world problems.

    Talk 2: Rushani Wijesuriya – Multiple imputation in three-level data structures

    Multilevel data with three levels of hierarchy are common in health research studies. A common problem in such studies is the presence of missing data and often handled with multiple Imputation (MI). To our knowledge there are only two MI implementations that are specialized for imputing missing data in a three-level setting (one within R and the other in the stand-alone software Blimp) and a lack of sufficient guidance for practitioners regarding the settings for which each of these approaches is appropriate. We investigate the performance of alternative MI approaches for handling three-level incomplete data by means of a simulation study under a number of different scenarios. Based on a case study from the Childhood to Adolescence Transition Study (CATS), we compared a range of currently available multilevel MI methods designed for single-level and two-level data combined with ad hoc approaches, such as the use of dummy indicators (DI) for school clusters or a just another variable (JAV) approach to repeated measures, in terms of bias and precision.

    Talk 3: Ravindi Nanayakkara – Stochastic modelling and statistical analysis of cosmic microwave background data

    The Cosmic Microwave Background (CMB) is the radiation from the universe since 380,000 years from its birth. In 2009, the European Space Agency launched the mission Planck to study the CMB thoroughly. The aim of the mission was to verify the standard model of cosmology using a detailed resolution of observations and to find out fluctuations from the specified standard model of cosmology. The main statistical model used to describe the CMB data is isotropic Gaussian fields. A random field can be defined as a stochastic process; indexed by a spatial variable. The Rényi function plays a central role in multifractal analysis, since the multifractal formalism in the theory of random cascades can be understood in the sense of the Legendre transform of the Rényi function. For the Rényi function on the sphere, there are three models where the Rényi function is known explicitly. They are Log-Normal model, Log-Gamma model and Log-Negative-Inverted-Gamma model. Our research aims to check the Gaussianity of the CMB Radiation data collected from the Planck mission. We discuss the statistical properties of random fields on spheres using high frequency asymptotics for angular spectrum.

    • 26 Sep 2019
    • 5:30 PM - 7:00 PM (UTC+09:30)
    • Engineering & Maths EM 212, The University of Adelaide, North Terrace

    Branch Meeting - Thursday, 26th September 2019

    The South Australian Branch of the Statistical Society would like to invite you to the September meeting of the 2019 program.

    Venue: Engineering and Maths Science Building, Room EM212, North Terrace, The University of Adelaide. A campus map is available at http://www.adelaide.edu.au/campuses/northtce/.

    ***Please note that most entrance doors to Adelaide University buildings close at 6pm so make sure you arrive in time for the talk.

    Time:

    5:30pm - Refreshments in the Lecture Theatre

    6:05pm - General Meeting Talk

    7:30pm - A dinner will be held after the meeting at Sukhumvit Soi, 54 Pulteney St, Adelaide SA 5000. Please RSVP for dinner to aarti.gulyani@sahmri.com by 24th September as we are usually unable to change the booking numbers at the last minute.


    Speaker: Peter Josef Kasprzak

    Topic: Partial automation of sampling and data collection to yield better estimates for faba and canola seed emergence project.

    Abstract

    An often-overlooked part of experimental research is the data collection process. Errors in sampling propagate through the entire experiment, with protocols often comprising a significant portion of resources from limited budgets. The challenge is to automate sections of this process, while keeping the necessary human checks, the decrease time, manpower, and overall costs of this process. One important step is the selection of sampling protocol. Often a simple random sample can be improved upon in terms of smaller standard estimator error, and a more representative sample gathered from a smaller number of total samples. We attempt to show how simulation can be run on a representative data set to determine the optical sampling protocol for the circumstance, and at the same time re-introduce a nearly forgotten sampling technique, Ranked Set Sampling. Underutilized for 60 years since its inception at the CSIRO by G. A. McIntyre in 1952, advances in modern technology now make it feasible to add this protocol to the go-to toolbox of sampling, and realize potential gains in efficiency, with the ultimate goal of wrapping these benefits in a easy to use, field ready, minimal training required piece of software.

    Biography

    Peter earned a degree in Oenology from Adelaide University in 2000 and spent the next 13 years making wine in a variety of countries, for some of the largest, and smallest wineries in the world. In 2013 he returned to university and after a year of psychology he completed a B.Mathematical Sciences - hons and was offered a chance to for a Masters by research in Biometry with a focus on investigating Ranked Set Sampling in agriculture at the Biometry Hub under Dr Olena Kravchuk. Utilising UAV (drones) to aid in the data collection process with Computer Vision and Machine Learning methods he is investigating ways to make robust sampling protocols available to farmers and agronomists.


    Feel free to forward this meeting notice to colleagues, all welcome.




    • 30 Sep 2019
    • 9:00 AM - 4:30 PM
    • Canberra
    Register

    SSA is pleased to offer two pre-conference workshops leading up to our Young Statisticians Conference, YSC2019.

    This particular workshop will be presented by our international keynote speaker, Alison Hill.

    About the workshop
    A workshop for R Markdown users who want to get more out of R Markdown (and friends). In this workshop, we will demystify how R Markdown works under the hood. You will learn practical tools and workflows to increase your efficiency and productivity using R Markdown (including RStudio IDE features and templates), while learning how to use some extension packages along the way. We assume that you have knit an R Markdown document before, but you don’t need to be an advanced R Markdown user to take this workshop. 

    About the presenter 
    Alison Hill is a Data Scientist & Professional Educator at RStudio, developing free and open source tools to make it easier and more fun to do data science with the statistical programming language. Alison studied psychology and quantitative methods, receiving her Ph.D. from Vanderbilt University in 2008. For eight years, she was a professor and scientist at Oregon Health & Science University, where her research was funded by the National Institutes of Health, the Oregon Clinical and Translational Research Institute, and Autism Speaks. She has written numerous scientific journal articles and book chapters on autism and neurodevelopmental disorders. She has developed and delivered workshops, graduate-level courses, and curricula based on teaching R, the tidyverse, and literate programming.

    Fees:

    Early Bird (closing on 16 August 2019)

    SSA student member $140

    Non-member student: $180

    SSA member: $280

    Non member: $350

    ABS staff (up to 15): $140

    From 17 August:

    SSA student member $190

    Non-member student: $230

    SSA member: $330

    Non member: $400

    ABS staff (up to 15): $190

    Other useful information:
    Workshop participants will need to bring a laptop loaded with with a current version of R (>3.6.0) and RStudio (>1.2.1335). The required packages are  rmarkdown, tidyverse and flexdashboard . They are also required to register for a free RStudio Cloud account, available here.

    Travel Expenses
    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

    Cancellation Policy
    Cancellations received prior to Monday, 23 September 2019 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.

    • 30 Sep 2019
    • 9:00 AM - 4:30 PM
    • Canberra
    Register


    SSA and the Australian Bureau of Statistics are pleased to present the following pre-conference workshop in the lead-up to this year's Young Statisticians Conference, YSC2019:

    Maximising the use of Australian Bureau of Statistics Data Products and Analysis Tools
    in Canberra (Manuka Oval, Griffith) on 30 September 2019.

    About the workshop
    This one-day workshop will have two components. First, it will provide an overview of the wide variety of data sources from the Australian Bureau of Statistics that are available for analysts. These sources include our 5-yearly Census, survey data, administrative data, and in particular, linked data. A demonstration of the ABS Table Builder and Data Lab products - platforms for analysts to remotely undertake bespoke analyses using ABS data - will be given. Several case studies will provide examples of the many innovative ways analysts are making use of ABS data for their projects. Second, it will focus on how Table Builder can produce data-cubes for a standard analysis in R. This will then extend to creating large data- cubes suitable for mixed models using the ‘LME4’ package in R. This second component of the workshop will conclude with discussion of Poisson-gamma models, which have additional advantages in this type of data framework. 

    About the presenters

    Cassandra Elliott (ABS)
    Cassandra has 14 years experience in population and social statistics at the ABS. Cassandra is currently leading the development of the 2020-21 National Health Survey and the Intergenerational Health and Mental Health Study planned for 2022

    Jennifer Marley (ABS)
    Since finishing her Bachelor of Mathematics degree, Jennifer Marley has followed an interesting career trajectory at the ABS for the last 11 years.  She has worked on statistical data confidentiality, conducted research into the utilisation of novel data sources (most notably satellite remote sensing data for estimating agricultural statistics) and led the development of microdata products from the Multi-Agency Data Integration Project integrated data asset.  She is currently a Principal Data Scientist in the Machine Intelligence and Novel Data Sources or MINDS team, which leads the cutting edge data science research at the ABS.

    Gwenda Thompson (ABS)
    Gwenda Thompson has a PhD in statistics and has worked at the ABS for 9 years.  She was part of the teams that developed the confidentiality modules for SurveyTable builder and a new data linking method.  She is currently managing various data linkage projects.  Prior to the ABS, Gwenda worked in the IT industry in London and the USA for over 10 years.

    Jenny Welsh (ANU)
    Jenny Welsh is an epidemiologist with 10 years of experience working with health-related datasets, including large-scale, linked data and longitudinal survey data.  Jenny is currently employed at the National Centre for Epidemiology and Population Health at the Australian National University working on research related to the Linked Data for Better Health project.

    Ian Rayson (ABS)
    Ian Rayson has 10 years experience as a statistical methodologist at the ABS. Ian is currently Assistant Director of the Health National Statistics Centre, leading a team producing health statistics for small geographic areas.

    James Brown
    James Brown has over 20 years of experience as an applied statistician including collaborations with Government Statistics in the UK and Australia. Since September 2013, he is Professor of Official Statistics at UTS and just completed a term as Associate Head of School (Research) for School of Mathematical & Physical Sciences.

    Fees:

    Early Bird (closing on 16 August 2019)

    SSA student member $140

    Non-member student: $180

    SSA member: $280

    Non member: $350

    ABS staff (up to 15 in total): $140

    From 17 August:

    SSA student member $190

    Non-member student: $230

    SSA member: $330

    Non member: $400

    ABS staff (up to 15 in total): $190

    Other useful information:
    Workshop participants will need to bring a laptop loaded with R and RStudio. The required packages are readxl, dplyr, tidyr, stringr, and lme4. They are also required to register for a free ABS TableBuilder Basic account here.

    Participants would benefit from knowledge of models of count/binary data (eg poisson and logistic regression). Some useful background reading is available here

    Travel Expenses
    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

    Cancellation Policy
    Cancellations received prior to Monday, 23 September 2019 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.

    • 30 Sep 2019
    • 9:00 AM
    • 1 Oct 2019
    • 5:00 PM
    • UniSA City West Campus, Adelaide
    • 18
    Register

    The aim of this workshop, presented by Dr Murthy Mittinty of the University of Adelaide's School of Public Health, is to provide an outline of recent developments in mediation analysis, that is, the analyses used to assess the relative magnitude of different pathways and mechanisms through which an exposure may affect an outcome.

    This workshop will provide:

    (i) Conceptual understanding and interpretability of the results;

    It will cover traditional approaches to mediation such as product and difference methods and introduce the latest developments such as counterfactual approach. Importance will be given to the confounding assumptions required for a causal interpretation of direct and indirect effect estimates. Methods from the causal inference literature to conduct mediation in the presence of exposure mediator interactions, binary outcomes, binary mediators, and case-control study designs will be demonstrated.  Sensitivity analysis techniques for unmeasured confounding and measurement error will be introduced. Discussion will focus on extending single mediation analysis to multiple mediators.

    (ii) Using epidemiological data practical applications of the above methods will be demonstrated. Analysis will be demonstrated using commonly used software such as STATA.

    (iii) Emphasis will also be given on report and communication of the estimates from the above methods.

    Workshop prerequisites are experience in regression analysis and epidemiology.

    About the presenter
    Dr Murthy Mittinty is a senior research fellow in the University of Adelaide’s School of Public Health. His research interests are in application of statistical methods to problems concerning public health, design and analysis of observational data, imputation of missing data and causal inference.

    Workshop fees:

    Payment on or before 31 August 2019 (Early Bird):

    SSA member $200
    SSA non-member $400*
    SSA student member $100
    SSA non-member student $125*

    Payment after 31 August 2019:

    SSA member $300
    SSA non-member $500*
    SSA student member $200
    SSA non-member student $225*

    *Student membership for full-time students is available for $20 annually. Membership for non-students is available for $245 annually. Click here to sign up. 

    Registrations close on 20 September 2019.

    Travel Expenses
    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.


    Cancellation Policy
    Cancellations received prior to Friday, 20 September 2019 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.

    • 30 Sep 2019
    • 5:30 PM - 7:30 PM
    • Media Centre, Manuka Oval, Canberra
    • 30
    Register


    Did you know:

    • In his first year at Harrow, Winston Churchill was bottom of the whole school?
    • Finland has the highest density of metal bands in the world?
    • A number of Bradley Efron's friends and colleagues originally floated other names for the bootstrap, including the Swiss Army Knife, Meat Axe, Swan-Dive, Jack-Rabbit, and the Shotgun?

    More importantly, in celebration of YSC2019 being in Canberra, did you know that SSA Canberra and YSC are holding a special joint pre-conference trivia night on the evening of 30 September i.e., after the workshops? 

    Test your knowledge in a couple of hours (+/- some unknown standard deviation) of trivia spanning all walks of general knowledge, including some mathematics and statistics puzzles of course! The trivia night will be held at Manuka Oval i.e., the venue of the workshops and conference.  

    The cost for the trivia night is

    • free for delegates of YSC2019;
    • $10 for all SSA members;
    • $30 for all non-members.

    This above includes dinner (TBC as to what this will be). Please note this is an alcohol-free event; in accordance with the venue policy, food and beverage cannot be brought in from the outside.

    Please note registration is essential (for catering purposes), and closes Wednesday 25 September.

    There will also be prizes! Time to get your game on! (well done if you know the reference)

    If you have any additional questions [bar what the answers to the trivia questions will be!], please contact ssacanberra@gmail.com

    • 1 Oct 2019
    • 8:30 AM
    • 2 Oct 2019
    • 5:00 PM
    • Canberra
    • 13
    Register

    The Young Statisticians Conference 2019 will be held on 1-2 October 2019 in the nation’s capital, Canberra. We are delighted that we were able to secure Manuka Oval for SSA’s signature event for students and graduates. YSC2019 will bring together the best students and early-career professionals in statistics and data analysis from all around Australia.  You do not want to miss this conference!

    To keep up to date with YSC2019 please go to the official conference website.

    When you register for the conference you need to be logged in as a member of SSA to take advantage of the member discount.  Please note that a one-year student membership with SSA is available to full-time students for only $20! Click here to register as a member of SSA and to see where your membership can take you!

    The YSC2019 dinner is not included in the conference registration fee. To register for the dinner click here.

    Cancellation Policy
    Cancellations received prior to Tuesday, 24 September 2019 will be refunded, minus a $20 administration fee.
    From then on 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.
     

    YSC2019-Visualising the future



    • 1 Oct 2019
    • 5:00 PM
    • University of Queensland, St Lucia, 61A-Senate - Brian Wilson Chancellery, Senate/Academic Boardroom

    AUTOMATED TECHNOLOGIES FOR SYSTEMATIC REVIEW & META-ANALYSIS

    Systematic review and meta-analysis are powerful tools to provide an unbiased overview of all available literature addressing a specific research question. However, systematic reviews are resource-intensive and due to the increasing rate of publication findings are likely to be out of date when published. To improve speed and quality, methodological innovations and automation tools have emerged to support many steps in the production of evidence syntheses.

    This talk focuses on software and tools to automate parts of the systematic review and meta-analysis process to reduce the time required to complete systematic reviews. This talk will cover tools to refine and perform systematic searches, machine learning algorithms to automatically assess citations for relevance and inclusion, text-mining tools to annotate and group articles, tools to extract data from PDFs, and software to assist with meta-analysis.

    Alexandra is a Postdoctoral research fellow with expertise and interests in evidence synthesis, open science and the automation of systematic reviews. Her research involves developing and implementing automation tools to reduce waste in healthcare and biomedical research and improve research quality.


    • 1 Oct 2019
    • 6:30 PM - 9:30 PM
    • 73 Canberra Ave, Griffith 2603
    Register

    After a busy conference day at YSC2019 let's enjoy an evening of relaxing, connecting and wholesome pub-style cuisine at the Kingston Hotel while we celebrate women in statistics. You don't have to be female to do that!

    The Kingston Hotel, fondly referred to as "The Kingo" is one of Canberra's original watering holes and has become one of Canberra's most popular pubs. Please join us to discuss issues concerning women in statistics in Australia, to network with fellow statisticians and supporters and to simply have a great night out with friends!
    The cost for the dinner is $20 for delegates of YSC2019 and $40 for everyone else. Registrations for this dinner close strictly on 24 September 2019.

    We would like to thank ACEMS for generously sponsoring this dinner.

    Cancellation Policy
    Cancellations received prior to Tuesday, 24 September 2019 will be refunded, minus a $10 administration fee. From then on 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.

    • 3 Oct 2019
    • University of Wollongong, Main Campus

    This workshop is presented by Professor Bryan Manly (Formerly of University of Otago, Dunedin, New Zealand).
    In this workshop, we focus on three related areas in computational statistics: randomization, bootstrapping, and Monte Carlo methods of inference, illustrating the value of a number of these methods with an emphasis on biological applications. The presenter emphasizes the sampling approach within randomization testing and confidence intervals. Similar to randomization, we show how bootstrapping, or resampling, can be used for confidence intervals and tests of significance. It also explores how to use Monte Carlo methods to test hypotheses and construct confidence intervals. Participants should have already studied basic statistical methods. 

    This flyer provides more information.  

    For further information contact Pauline O’Shaughnessy on poshaugh@uow.edu.au


    • 8 Oct 2019
    • 5:30 PM - 7:00 PM (UTC+08:00)
    • Perth

    Details to be advised.

    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.


    • 9 Oct 2019
    • 6:00 PM - 10:00 PM
    • Commonwealth Bank Place (South Building) in Darling Harbour
    • 31
    Register

    The NSW branch of the Statistical Society of Australia warmly invites all undergraduate, postgraduate and early career statisticians and data scientists to attend our annual Young Statisticians Careers & Networking Evening on Wed, October 9th, 2019.

    This year we have spectacular speakers from financial, government, academic and consultancy services. The speakers will share stories from their careers and provide insights into their professions. For example, have you wondered what you can do after doing a statistics degree; what it is like to transition from mathematics to statistics; or what other statistics professions are like, then this event is for you!

    After the talks, there will be plenty of time to chat with the speakers over drinks and food and to connect with people from many different areas of statistics, including government, industry and academia. Come join us to discover how analytical techniques translate into pragmatic problem-solving in the real world!

    This event is made possible with organisation and sponsorship from the SSA NSW Branch. We are grateful for Commonwealth Bank of Australia for sponsoring the venue and for ACEMS for the generous additional financial sponsorship.

    Please note that you will have to bring your ID on the day. We will send you a reminder email closer to the date.

    Meet our speakers

    Amanda Winchester
    Quantum Black, McKinsey company

    Amanda works as an expert consultant at Quantum Black.  She works in client engagements, often as either an  analytics translator or as a data scientist. She designs and develops solutions to business problems using statistical and machine learning approaches, and works with clients to translate results into implementable actions. Her experience spans a variety of consumer-facing industries, with extensive work in general retail and retail banking, financial services, and downstream oil & gas.

    Robert Salomone
    University of New South Wales

    Robert is an early career researcher working as a postdoctoral research fellow at the University of New South Wales. He obtained his Ph.D. in Statistics from the University of Queensland. His main interest is on computational and methodological methods in Bayesian Statistics and Machine Learning. His current research interests include Bayesian Deep Learning and nonparametric methods, as well as developing new methods of inference for certain special classes of challenging problems in Bayesian statistics.

    Gabriela Nodari
    Reserve Bank Australia

    Gabriela is an economist at the Economic Analysis Department of the Reserve Bank of Australia. She obtained her Ph.D. in Economics from the University of Verona in 2015. She currently works in the Overseas Economies division, where she monitors and forecasts trends in international economies and undertakes applied research to answer policy-relevant questions.

    Liivika Tee
    Quantium

    Liivika is an Actuarial Consultant at Quantium with a PhD in Mathematical Statistics from University of Tartu in Estonia. She is interested in solving statistical challenges and is passionate about working with data in order to provide key business insights. Her key specialities are data analytics and statistical modelling in the insurance sector.

    Stephen Bush
    Commonwealth Bank of Australia

    Stephen works in the Commonwealth Bank of Australia, where he is the Senior Manager for Experimentation. He is a statistician who specialises in the efficient design of experiments. He holds a PhD in Mathematics from UTS. In his role, Stephen works with different parts of the business to design A/B and multivariate tests to drive data driven decision making and provides advice on evaluation, measurement and statistical methods.

    Roel Verbelen
    Finity Consulting

    Roel is a Statistician at Finity Consulting with a PhD in Business Statistics and Actuarial Science from KU Leuven in Belgium. His main interest lies in the use of statistics and data analytics to solve business problems and to innovate current practices. He is specialised in predictive modelling for the general insurance sector.

    If you have any inquiries please contact Matias Quiroz [email: Matias.Quiroz (at) uts.edu.au].

     



    • 21 Oct 2019
    • 9:00 AM - 5:00 PM
    • Sydney
    • 0
    Join waitlist


                     

    SSA and ACEMS are proud to present the following 1-day workshop with Liz Stuart to be held on 21 October 2019 in Sydney:

    Propensity score methods for estimating causal effects in non-experimental studies: The why, what, and how

    About this workshop

    Propensity scores are an increasingly common tool for estimating the effects of interventions in observational (“non-experimental”) settings and for answering complex questions in randomized controlled trials. They can be of great use in epidemiologic research, for example helping assess broad population effects of exposures, programs, or policies. This workshop will discuss the importance of the careful design of observational studies, and the role of propensity scores in that design, with the main goal of providing practical guidance on the use of propensity scores to estimate causal effects. The workshop will cover the primary ways of using propensity scores to adjust for confounders when estimating the effect of a particular “cause” or “intervention”, including weighting, subclassification, and matching. Topics covered will include how to specify and estimate the propensity score model, selecting covariates to include in the model, diagnostics, and common challenges and solutions. Software for implementing analyses using propensity scores will also be discussed. The workshop will also highlight recent advances in the propensity score literature, including prognostic scores, covariate balancing propensity scores, methods for non-binary treatments, and approaches to be used when there are large numbers of covariates available (as in claims data).

    About the presenter

    Elizabeth A. Stuart, Ph.D. is Professor in the Department of Mental Health at the Johns Hopkins Bloomberg School of Public Health, with joint appointments in the Department of Biostatistics and the Department of Health Policy and Management, and Associate Dean for Education at JHSPH. She received her Ph.D. in statistics in 2004 from Harvard University and is a Fellow of the American Statistical Association. Dr. Stuart has extensive experience in methods for estimating causal effects and dealing with the complications of missing data in experimental and non-experimental studies, particularly as applied to mental health, public policy, and education. She has published influential papers on propensity score methods and generalizing treatment effect estimates to target populations and has taught courses and short courses on causal inference and propensity scores to a wide range of audiences. Her primary areas of application include mental health, substance use, and policy evaluation, including co-directing the JHSPH Center for Mental Health and Addiction Policy Research. Dr. Stuart has received research funding for her work from the National Institutes of Health, the US Institute of Education Sciences, and the National Science Foundation and has served on advisory panels for the National Academy of Sciences, the Patient Centered Outcomes Research Institute (PCORI), and the US Department of Education. Dr. Stuart was recently recognized with the mid-career award from the Health Policy Statistics Section of the American Statistical Association, the Gertrude Cox Award for applied statistics, and the Myrto Lefkopoulou award from the Harvard University Department of Biostatistics.

    Target Audience

    This workshop is suitable for a varied audience, ranging from people with no experience with propensity scores to those with some experience who want to learn more, especially about various data complexities. General knowledge of regression and logistic regression is useful.

    Course venue
    UTS City campus, Ultimo NSW

    Course Fees
    Early Bird (payment before 1  October 2019)

    SSA/ACEMS Members

    $150

    Non-Members*

    $495

    SSA/ACEMS Student Members

    $100

    Non-Member Students*

    $170


    Payment after 30 September 2019

    SSA/ ACEMS Members

    $200

    Non-Members*

    $545

    SSA/ACEMS Student Members

    $150

    Non Member Students*

    $220

    *Student membership is available for full-time students for $20 annually.
    *Full membership is available for $245 annually. For more information please click here.

    Registrations close on 14 October 2019.

    Travel Expenses

    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

    Cancellation Policy

    Cancellations received prior to Monday, 14 October 2019 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 toeo@statsoc.org.au. 

    • 21 Oct 2019
    • 5:30 PM - 6:30 PM
    • Room 340, New Law Building, University of Sydney
    Register
    • Co-hosted by the SSA Biostatistics and Bioinformatics Section and the SSA NSW Branch, the B&B networking event will be held at the University of Sydney prior to the October branch meeting.
    • This informal event aims to bring together biostatisticians, bioinformaticians and other like-minded individuals to provide an opportunity for socializing and making connections.
    • All SSA and non-SSA members are welcome and encouraged to join this event.
    • Attendees are also welcome to join the following SSA NSW branch meeting at 6.30pm where Elizabeth Stuart (John Hopkins Bloomberg School of Public Health) will be presenting.
    • Light refreshments and drinks will be provided.

       

    • 21 Oct 2019
    • 6:00 PM - 7:30 PM

    Details to come.

    • 31 Oct 2019
    • 6:00 PM - 7:30 PM
    • David P. Derham Theatre, Mezzanine Level, Melbourne Law School, University of Melbourne, 185 Pelham Street, Carlton
    Register

    Join us for our annual Belz Lecture, to be delivered this year by Antony Ugoni from SEEK. This is a free event however registration is required.

    The lecture will be followed by the Belz Dinner, which is a separate, paid event.

    Statistics is the Crown Jewel of Data Science

    Statistics has always been vitally important to Data Science, and its importance is growing.  With data scientists in critically short supply, however, the discipline is attracting talented people from many different disciplines, each bringing different and complementary skills to a data science team.

    Integral to such a team's work involves tasks that are standard fare in statistics.  Examples include statistical inference, experimental design, or supporting decision making under uncertainty.  Powerful approaches to these are well known to experienced statisticians but not necessarily to many data scientists.  What are some of these?

    Antony will share stories from his work leading data science teams in industry, illustrating examples where statistics has worked its magic.  He will urge us to renew the wonder and amazement of our discipline as the best way to force our discipline to take its rightful place in the Data Science discipline, and inspire the statistics profession to pass this on to the new generation of data scientists.

    Antony Ugoni


    Director, Global Matching and Analytics, SEEK

    Antony is one of Australia’s leaders in analytics and in 2013 accepted an opportunity at SEEK to develop the analytics capability.

    Antony began his career as a Biostatistician to the Alfred Group of Hospitals jointly with Monash Medical School. He then moved to a lecturing role in Biostatistics at the University of Melbourne. Antony has co-authored more than 50 peer reviewed articles in medical research and still actively contributes to this industry today.

    From 2000 to 2013 Antony worked at National Australia Bank leading many ground breaking teams and projects. Antony started as the lead for its Credit Card Fraud Analytics Group which used data driven insights to reduce fraud losses by more than 50% in a market that was experiencing fraud losses growing at 30% per annum. Antony was then offered the opportunity to lead the Customer Analytics team which, in his tenure, identified more than $100b worth of revenue opportunities.

    Since 2013 Antony has worked at the Seek Group and founded the team that today is known as AI Platform Services. The AI Platform Services team are responsible for utilising the data captured by Seek assets to build services that help great candidates find jobs and stand out from the crowd, and hirers to identify great candidates in a timely fashion. Today the team numbers more than 100 Data Scientists, Data Engineers and Strategists, delivering services in 19 markets across the world, reaching 2.9 Billion candidates.

    Antony:

    • holds a BSc(Hons) and an MSc from La Trobe University,
    • is the Chairman of IAPA (The Institute of Analytics Professionals, Australia),
    • is a Board Member of AADL (The Australian Alliance for Data Leadership),
    • is a Board Member of ADMA (The Association for Data-Driven Marketing and Advertising),
    • is an Advisory Board member of the analytics start-up Pascal51, and
    • is an Advisory Board member for the Centre of Business Analytics, Melbourne Business School
    • 31 Oct 2019
    • 7:45 PM - 10:00 PM
    • University House at the Woodward, Level 10, Melbourne Law School, University of Melbourne, 185 Pelham Street, Carlton
    Register

    The Victorian Branch of the Statistical Society of Australia invites members and guests to attend the Belz Dinner, held at University House at the Woodward from 7:45PM. The dinner immediately follows the annual Belz Lecture, given this year by Antony Ugoni.

    If you have any dietary requirements please include them in your ticket registration.

    Tickets are limited and will only be available up until the 24th of October. To purchase a ticket at the member rates you need to be logged in to your account.
    • 4 Nov 2019
    • 9:00 AM
    • 5 Nov 2019
    • 5:15 PM
    • Macquarie University Sydney City Campus
    • 20
    Register


    The Australian Pharmaceutical Biostatistics Group (APBG) and the Statistical Society of Australia warmly invite you to a workshop on "Network meta-analysis and population adjustment for decision-making", presented by David Phillippo.

    About the workshop:
    Network meta-analysis (NMA) is a method for combining evidence from several studies on multiple treatments of interest to provide a consistent set of relative effect estimates and is widely used for healthcare decision-making and guideline development. More recently, population adjustment methods have been proposed that use individual patient data from one or more studies to relax the assumptions of NMA and adjust for differences in effect modifying variables between populations, or even to incorporate disconnected networks and single-arm studies. The methods are becoming increasingly common in technology appraisal submissions to reimbursement agencies and raise new questions and challenges for analysts and decision-makers.

    About the presenter:
    David Phillippo is a Senior Research Associate in Statistics at the University of Bristol, UK. His research focuses on methodology for evidence synthesis, Bayesian Network Meta-Analysis (NMA), population adjustment methods for indirect comparisons, and accounting for bias in clinical guidelines. He is the lead author of a recent Technical Support Document published by the NICE Decision Support Unit on population-adjusted indirect comparisons, and has developed new methods extending the NMA framework to incorporate population adjustment combining individual patient data and published summary data.

    Target audience:
    Day 1 of this course is aimed at statisticians, health economists, decision-makers, and systematic reviewers who are already familiar with pairwise meta-analysis, and who want to extend their knowledge to NMA and population adjustment methods. Participants will develop an understanding of these methods and the required assumptions and learn to assess and critique these types of analyses.

    Day 2 is aimed at those with technical experience of meta-analysis who want to apply the knowledge learned on Day 1 to hands-on practical examples. Participants will gain experience implementing NMA and population-adjusted analyses in an R package based on the Bayesian modelling language Stan.

    Prerequisites: Day 1:
    -
    Participants should be familiar with meta-analysis and linear and logistic regression

    Day 2:
    - Participants should have attended Day 1 of the course
    - Participants should have a working knowledge of R (installing packages, running a simple regression model)

    Learning Objectives Day 1 - Develop an understanding of network meta-analysis and population adjustment methods and the required assumptions and learn to assess and critique these types of analyses.
    Day 2 - Gain experience implementing NMA and population-adjusted analyses in an R package based on the Bayesian modelling language Stan.

    Fees

    No of Days

    1 Day

    2 Day

    SSA/APBG members

    $350

    $700

    Non-members

    $400

    $800

    SSA/APBG full-time student members*

    $200

    $400

    Non-member full-time students*

    $230

    $460

    Early Bird SSA/APBG members

    $300

    $600

    Early Bird non-members

    $300

    $600

    Early Bird SSA/APBG full-time student members*

    $150

    $300

    Early Bird non-member full-time students*

    $180

    $360

    *SSA student membership is available for $20 (12 months) - click here to sign up

    Deadlines
    Early Bird registration closes on 30 June 2019. Regular registrations close on 15 October 2019.

    Travel Expenses
    Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. Please contact the SSA Office before making any travel arrangements to confirm that the workshop will go ahead, because the Society will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.

    Cancellation Policy
    Cancellations received prior to Friday, 25 October 2019 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.

    • 7 Nov 2019
    • Sydney

    The Applied Statistics Education and Research Collaboration involving the University of Wollongong, the University of Newcastle and Western Sydney University is presenting a one-day workshop on Statistical Design and Analysis in Data Science. The workshop will consist of a presentation by keynote speaker Distinguished Professor Peter Diggle and talks covering recent developments and trends in statistical methods relevant to data science and analytics. Other speakers include Distinguished Professor Noel Cressie (UOW), Professor Siu-Ming Tam (ABS), Dr Virginia Wheway (Thiess), Dr Andrew Zammit Mangion (UOW), Dr Ali Eshragh (UON), Dr Ian Renner (UON). 

    This flyer provides more information.  

    To register your interest, or for further information, please email David Steel at steel@uow.edu.au

    • 8 Nov 2019
    • 9:00 AM - 5:00 PM
    • UQ's Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopilly

    Develop skills to conduct & commission Program Evaluations. This one-day introduction to Program Evaluation introduces key evaluation concepts & techniques. It provides participants with the foundational skills to plan or commission an evaluation.

    When: 8 November 2019, 9am – 5pm

    For more information please click here


    • 12 Nov 2019
    • 9:00 AM
    • 13 Nov 2019
    • 5:00 PM
    • Sydney

    The Time Series & Forecasting Symposium 2019 (TSF2019) is an annual research event of the Time Series and Forecasting Research Group, the University of Sydney Business School. This symposium aims to promote time series analysis and forecasting in business and other areas. We welcome oral and poster presentations in all areas related to time series and forecasting, and especially encourage contributions in the main themes:  time series econometrics, volatility modelling and risk forecasting, risk assessment and management, high-dimensional modelling and forecasting, computational methods, robust inferences and deep learning. Registration will open soon! 

    Dates: Monday, 11 November 2019 & Tuesday, 12 November 2019

    Time:   9:00am – 5:00pm (Morning tea, lunch and afternoon tea are provided)

    Venue:  ABS Case Study Lecture Theatre 2080 and 2090, Level 2, Business School Abercrombie Building (H70), The University of Sydney Business School

                   Map: Google search “The University of Sydney Business School”

    International keynote speaker: Prof Morten Nielson, Queen’s University, Canada (Please see symposium website for title and abstract)

    Plenary speaker: A/Prof Tomohiro Ando, University of Melbourne, Australia (Please see symposium website for title and abstract)

    Registration Fee:  A$110 (incl. GST) for academic and industry participants and A$55 (incl. GST) for full-time students. All registrations include morning tea, lunch and afternoon tea 

    Registration webpage: https://sydney.edu.au/business/our-research/research-groups/time-series-and-forecasting/symposium.html

    Abstract submission: Please send to tsf.symposium@sydney.edu.au by email before 15 October 2019

    Enquiries: tsf.symposium@sydney.edu.au or boris.choy@sydney.edu.au

    Local Organising Committee: Boris Choy and Chao Wang (Co-Chairs), Richard Gerlach, Ye Lu and Jianxin Wang 

     


    • 12 Nov 2019
    • 5:30 PM - 7:00 PM (UTC+08:00)
    • Perth

    Details to be advised.

    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.


    • 13 Nov 2019
    • 9:00 AM
    • 15 Nov 2019
    • 5:00 PM
    • UQ's Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopill

    UQ Institute for Social Science Research: Essential Social Analysis Skills Course

    Develop essential quantitative analysis & interpretation skills. This course is designed to provide participants with the essential skills to analyse & interpret quantitative (numeric) social data. Participants will develop an understanding of the appropriate statistical techniques to use for different types of research questions & different types of data & importantly how to make inferences & interpret results.

    Click here for more information.

    • 13 Nov 2019
    • 6:00 PM - 7:30 PM

    Details to come.

    • 19 Nov 2019
    • 9:00 AM
    • 20 Nov 2019
    • 5:00 PM
    • UQ's Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopilly

    Generate new knowledge through qualitative discovery.

    This course will enable participants to understand the results from administrative or survey data by investigating these findings in more depth through qualitative methods. It will cover skills to gather data from stakeholders through interviews, focus groups or visual methods in order to make evidence-informed decisions and ensure that surveys provide valid and reliable data.​

    For more information please click here.

    • 25 Nov 2019
    • 8:30 AM
    • 27 Nov 2019
    • 5:00 PM
    • Surfers Paradise, Gold Coast
    Register

    Bayesian Research and Applications Group (BRAG) warmly invite you to a meeting of people involved or interested in Bayesian Research and Applications.

    Bayes on the Beach 2019 is the 13th International Workshop for the Australasian chapter of the International Society for Bayesian Analysis (ISBA) and the biennial meeting of the Bayesian Statistics section of the Statistical Society of Australia (SSA).

    Bayes on the Beach will be held at the Mantra Legends Hotel at Surfers Paradise, Gold Coast during November 25th -27th 2019. The conference provides a forum for discussion on developments and applications of Bayesian statistics, and includes keynote presentations, tutorials, practical problem-based workshops, invited oral presentations, and poster presentations.

    For details and regular updates please visit the full conference website.



    • 26 Nov 2019
    • 9:00 AM
    • 28 Nov 2019
    • 5:00 PM
    • UQ's Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopilly

    Develop skills to understand & conduct CBAs for social projects. This course is designed for professionals who need to engage with CBAs to aid the design & evaluation of public programs & policies, & need hands-on skills to conduct CBAs. This course equips participants with an understanding & working knowledge of the skills required to apply Cost-Benefit Analysis (CBA) to the appraisal & evaluation of projects with mainly social costs & benefits. The course will cover the potential uses & limitations of cost-benefit analysis (CBA), introduce Social Return on Investment (SROI) analysis, examine the principles & methods underlying CBA & non-market valuation, & provide hands-on exercises to practice the basic skills required to perform CBAs.

    When: 26 – 28 November 2019, 9am – 5pm

    Location: UQ's Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopilly

    For more information please click here



    • 29 Nov 2019
    • QUT, Brisbane

    There is increasing international interest and engagement in the concept of ‘data science for social good’, with volunteers and organisations working on issues such as human rights, migration, social justice and so on. Having even more access to big data sources such as mobile phone data, satellite images and social media data brings many opportunities for new insights into these important problems, but there is a corresponding responsibility for appropriate analysis and interpretation of these data. The purpose of this symposium is to promote the merger of data science and social good, share success stories, discuss challenges and potential solutions, extend networks, and explore directions for new research.

    For more information – please go to: Data Science and Social Good Symposium: Friday 29 November 2019. To register, please click here.

    • 1 Dec 2019
    • 2 Dec 2019
    • University of Adelaide

    We have an exciting line-up of 7 workshops at The University of Adelaide in December!

    Workshop on 1st December  

    • Analyzing dependent data with vine copulas

    • Tidyverse & R Markdown Workshop

    • Whole Genome Analysis with wgaim


     Workshop on 2nd December

    • Identifying, randomizing, canonically analyzing and formulating mixed models for designs for comparative experiments using R

    • Handling missing data in administrative studies: multiple imputation and inverse probability weighting

    • Shiny App Development

    • An Introduction to Deep Learning with Biometric and Environmetric Applications

    Find more information here and registration here (you do not need to register for the conference to register for the workshops).

    • 2 Dec 2019
    • 5 Dec 2019
    • Adelaide

    The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. It is devoted to the art and science of intelligent analysis of (usually big) data sets for meaningful (and previously unknown) insights. This conference will enable the sharing and learning of research and progress in the local context and new breakthroughs in data mining algorithms and their applications across all industries. For more information please click here.

    • 3 Dec 2019
    • 6 Dec 2019
    • National Wine Center, Adelaide

    Come join the International Biometrics Society Australasian Region's biannual conference in Adelaide!

    https://ausbiometric2019.org/

    • 9 Dec 2019
    • 9:00 AM
    • 13 Dec 2019
    • 5:00 PM
    • UQ's Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopilly

    Deepen your specialist knowledge of longitudinal approaches. This five-day intensive course has been specifically designed to deepen the specialist knowledge of your research teams and enhance the quality and meaning of the data you use when making crucial business decisions.

    The course delves deeply into topics that are pivotal for organisations that use longitudinal data for research and decision-making. Using an engaging combination of presentations, exercise-based and group activities the course covers the latest in statistical methods, as well as how and where to apply them. The practical hands-on sessions use real-world longitudinal data, from the Household, Income and Labour Dynamics in Australia (HILDA) longitudinal survey, and Growing up in Australia: The Longitudinal Survey of Australian Children (LSAC).

    When: 9 - 13 December 2019, 9am – 5pm

    Location: UQ's Institute for Social Science Research, Cycad Building, 80 Meiers Road, Indooroopilly

    For more information please click here

    • 10 Dec 2019
    • 5:30 PM - 7:00 PM (UTC+08:00)
    • Perth

    Details to be advised.

    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 Dec 2019
    • 13 Dec 2019
    • Carslaw, The University of Sydney

    Find more about the rOpenSci OzUnconf at https://ozunconf19.ropensci.org/

    • 22 Jun 2020
    • 26 Jun 2020
    • Sydney

    This is the first time ISEC will be held in the Southern Hemisphere! Sydney is home to the Sydney Opera House, Bondi Beach, the Tim Tam, half-decent weather even in winter, and it will be whale season...

    Confirmed plenary speakers:

    - Christl Donnelly (Imperial College, London)
    - David Borchers (St Andrews)
    - Di Cook (Monash)
    - Kiona Ogle (Northern Arizona)
    - Mark Bravington (CSIRO)

    Invited sessions on:

    - Reproducible Science
    - Methods for high throughput community data
    For more details go to http://www.isec2020.org/

    There will be a Skills Showcase the day before the conference, with introductory tutorials running in parallel on a diverse range of topics, including Spatial Capture-recapture, Learning Python, Disease modelling and more. As usual, there will be short courses in the days before the conference.


    • 5 Jul 2020
    • 10 Jul 2020
    • Seoul, Korea

    The International Program Committee (IPC) of the International Biometric Society’s (IBS) 30thInternational Biometric Conference (IBC2020) calls for Invited Session proposals. IBC2020 will be held 5-10 July 2020 at the COEX (Convention & Exhibition Center), Seoul, Korea.

    • 6 Jul 2020
    • 8:00 AM
    • 10 Jul 2020
    • 6:00 PM
    • Gold Coast Convention Centre, 2684 -2690 Gold Coast Highway, Broadbeach, QLD

    Welcome to the ANZSC 2020 Conference

    The organising committee warmly invites you to the 2020 Australian and New Zealand Statistical Conference, which will take place on the Gold Coast from the 6th to the 10th of July 2020.

    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.

    ANZSC2020 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 2020!

    • 11 Jul 2021
    • 15 Jul 2021
    • 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 Jun 2022
    • 1 Jul 2022
    • tbc

    Save the date!

    The first JSSM (Joint Southern Statistical Meetings) will be held from 27 June - 1 July 2022, at a venue to be confirmed. 

    • 6 Jul 2022
    • 14 Jul 2022
    • 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
    • 15 Jul 2022
    • Riga, Latvia

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


Past events

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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