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Events listing - SSA events

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

Upcoming events

    • 25 Jun 2024
    • 5:45 PM - 7:00 PM (AEST)
    • In-person and online via Zoom

    SSA Canberra invites everyone to attend its June branch meeting, where Dan Chateau (formerly from ANU) will be dazzling us in-person with his research and insights into propensity scores.

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

    Date: Tuesday 25 June 2024

    Time: Starts 5:45pm and finishes by 7pm    

    Speaker: Daniel Chateau, ANU National Centre for Epidemiology and Population Health

    Venue: Room 3.02 in Marie Reay Teaching Centre, Australian National University (MRTC ANU),  or via Zoom.

    Zoom link:

    (full link details are below)

    Topic: Using Propensity Scores in Observational Data Analysis:  Some Theory and a Practical Application

    Abstract: Propensity scores have become a standard practice in many types of observational research using large administrative datasets where confounders are present and hard matching on measured confounders is either not optimal or not appropriate.  In this talk I will go over the theory behind using propensity scores to address confounding, an 'automated' method for developing a propensity score from a large number of candidate variables,  and present a practical application of propensity scores in pharmacoepidemiological research, examining potential impacts of in utero exposure to SSRIs.

    Biography: Dan Chateau was recently an Associate Professor at ANU in the National Centre for Epidemiology and Population Health, leading the Methods Team in the Population Health Exchange. Prior to this, he was a Research Scientist and Lead Biostatistician at the Manitoba Centre for Health Policy in Winnipeg, Canada. During his time in Canada, he served as the site lead and member of the national steering committee for the Canadian Network for Observational Drug Effect Studies (CNODES), and as a member of the Methods team for CNODES.  He has authored and co-authored many papers and reports using linked administrative health and social data, and recently worked with MBS and PBS data here in Australia examining prescription drug treatment adherence before and during the COVID-19.pandemic.


    After the talk we will be holding a dinner at 7.15pm at SoLita Pizzeria & Pasta Bar, Baileys Corner, 143 London Circuit, Canberra City (  

    If you are interested in attending the dinner, please let us know by 5pm Monday 24 June by entering your details at SSA Canberra Branch dinner attendance sheet or contacting Warren Muller ( ; 0407 916 868). Please regard this as a firm commitment, not just an intention. For withdrawals after the deadline, please remove your name from the sheet and phone or text Warren (0407 916 868).

    NOTE: We are offering discounts to SSA early career and student members who attend dinner! For this meeting, dinners will be a fixed charge of $10 for student members and $20 for early career members. 


    Zoom link:

    Topic: SSA ACT branch meeting
    Time: Jun 25, 2024 05:45 PM Canberra, Melbourne, Sydney

    Join Zoom Meeting

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    Password: 191283
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    • 26 Jun 2024
    • 5:00 PM - 6:00 PM
    • 314 Teaching Suite, UQ, 308 Queens St, Brisbane/Online

    Please join us in person or online for our June Queensland Branch Meeting. The seminar will start at 5:00 pm. Details for the seminar are provided below.

    TITLE: Statistical approaches for analysing multi-environment trials

    SPEAKER Dr Vivi Arief, University of Queensland (

    TIME: 5:00 - 6:00 pm (AEST), 26th June 2024

    VENUE:  314 Teaching Suite, UQ, 308 Queen Street, Brisbane and online (Zoom details will be sent with registration).
    Special instructions for in-person venue:

    Enter through the main door at 308 Queen Street and pass through the Atrium. Speak to the concierge at the elevator located at the back of the room, and notify them that you are attending the Statistical Society of Australia event.

    Please note that the seminar will be recorded and might be put on YouTube or similar platform.


    The main objective of any breeding program is to select genotypes that perform well in the target population environments (TPEs), i.e. farmer fields. However, genotype-by-environment interaction complicates this selection process, as genotypes could be performed differently in different environments. Therefore, these genotypes are tested in multi-environment trials (METs) to predict their performance in TPEs. The performance in the METs is used to predict the genotype's performance in the TPEs. This talk will provide an overview of the statistical methods used to analyse multi-environment trials in crop breeding.


     Vivi Arief is currently a Lecturer in Biometry at the University of Queensland. She graduated with a B.Sc. (Hon.) in Agriculture from IPB University (Indonesia) and an MAgrSt and PhD in Plant Breeding and Quantitative Genetics from the University of Queensland. Her research focuses on the area of interface between statistics and plant breeding.

    • 28 Jun 2024
    • 9:30 AM - 1:00 PM (AEST)
    • Online
    • 1

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

     Working Smarter with Targets presented by Miles McBain.

    A half-day introduction to the {targets} framework for R projects.


    This workshop is for useRs interested in smarter, faster, and more reproducible data analysis project workflows. You will learn about the R package {targets} and why it is one of the most important tools for 'getting stuff done' with R since the {tidyverse}. The objective of this session is to jump start your {targets} knowledge, and walk through the process of refactoring an existing project to take advantage {targets}.

    Target audience

    Participants should have prior experience working through at least one challenging data analysis project using R.


    Miles McBain is a Data Scientist and R package developer who has been using {targets} since release for large data analysis projects in the Public and Not-for-profit sectors.

    Structure of workshop

    time topic
    TBA Motivating Targets: Strengths and weaknesses of typical R project workflows
    TBA Pure functions and their benefits as units of work
    TBA The {targets} plan and the two kinds of reproducibility
    TBA Long vs Wide processes
    TBA New debugging access panels
    TBA Divide and conquer with branching
    TBA Things that may go wrong and where to get help
    TBA Advanced topics: Meta-programming, Tarcheytypes, Multi-plan projects, Cloud computing

    As we step through each topic we'll refactor our starter project using our new knowledge.

    Getting started

    1. You should have a reasonably up to date version of R (e.g. 4.3+), and a text editor setup you feel comfortable being productive with (E.g. RStudio, VSCode, ESS + Emacs, Vim + NvimR). It's going to be less typing if you can use the {rstudioapi} via either RStudio or VSCode.

    2. Make sure you have these packages installed:

    install.packages(c("targets", "tarchetypes", "tidyverse", "conflicted", "galah", "here", "sf", "h3jsr", "ggspatial"))

    If you're a Linux user sf might give you some challenges (but you're used to that, right?). Be sure to study their README.

    1. Our example project is going to pull data from the Atlas of Living Australia, so create an account with a valid email address, here:

    Cancellation Policy

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

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

    For any questions, please email

    • 28 Jun 2024
    • 1:30 PM - 5:00 PM (AEST)
    • Online
    • 7

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

     Quarto for Scientists presented by Nick Tierney.

    This is a course on how to use quarto, with the target audience being for scientists. This was first developed as a short workshop on rmarkdown, as the book "rmarkdown for scientists". The general structure will be the same, and it will grow and change over time as a living book.

    Structure of the workshop

    This online book covers more content than the workshop. Here's an example structure of a 3.5 hour course.

    time topic
    1:00-1:20 Get started with your own quarto document
    1:20-1:40 Workflow when using quarto documents and projects
    1:40-2:00 Exporting quarto documents to PDF, HTML, and Microsoft Word
    2:00-2:30 Managing captions, figures, tables
    2:30-3:00 BREAK
    3:00-3:30 Managing equations and bibliographies
    3:30-4:00 How to debug and handle common errors
    3:45-4:30 Free time for discussion around aother quarto formats: websites, blogs, slides, and more!

    Learning outcomes

    After completing this course, you will know how to:

    • Create your own quarto document
    • Create figures and tables that you can reference in text, and update with - your data
    • Export your quarto document to PDF, HTML, and Microsoft Word
    • Use keyboard shortcuts to improve workflow
    • Cite research articles and generate a bibliography

    We may, depending on time, also cover the following areas:

    • Change the size and type of your figures
    • Create captions for your figures, and reference them in text
    • Cite research articles and generate a bibliography
    • Debug and handle common errors

    Getting Started

    See the installation chapter for details on software to be installed.

    Some working materials will be made available at closer to the course date


    Book aims

    This book aims to teach the following:

    • Getting started with your own quarto document
      • Using Rstudio
      • Visual Studio Code
    • Improve workflow:
      • RStudio
        • Demonstrate rstudio projects
        • Using keyboard shortcuts
      • Quarto projects
    • Export your quarto documents to PDF, HTML, and Microsoft Word
    • Better manage figures and tables
      • Reference figures and tables in text so that they dynamically update
      • Create captions for figures and tables
      • Change the size and type of figures
      • Save the figures to disk when rendering a document
    • Work with equations
      • Inline and display
      • Caption equations
      • Reference equations
    • Manage bibliographies
      • Cite articles in text
      • Generate bibliographies
      • Change bibliography styles
    • Debug and handle common errors with quarto
    • Next steps in working with quarto:
      • How to extend yourself to other formats, such as slides, websites, books, and more

    Abstract aka "why should you read this"

    For a scientific report to be completely credible, it must be reproducible. The full computational environment used to derive the results, including the data and code used for statistical analysis should be available for others to reproduce.

    Quarto is a tool that allows you integrate your code, text and figures in a single file in order to make high quality, reproducible reports. A paper published with an included quarto file and data sets can (in principle) be reproduced by anyone with a computer.


    Creative Commons License
    This work is licensed under a
     Creative Commons Attribution-NonCommercial 4.0 International License.

    Cancellation Policy

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

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

    For any questions, please email

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

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

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

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

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

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

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

    Registration: Event Booking Details (

    Paper submission deadline: February 20, 2024