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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

    • 2 Dec 2024
    • 5 Dec 2024
    • Adelaide

    The International Environmetrics Society (TIES) is a non-profit organization aimed to foster the development and use of statistical and other quantitative methods in the environmental sciences, environmental engineering and environmental monitoring and protection. To this end, the Society promotes the participation of statisticians, mathematicians, scientists and engineers in the solution of environmental problems and emphasizes the need for collaboration and for clear communication between individuals from different disciplines and between researchers and practitioners.

    All contributions related to environmetrics are welcome from across academia, research institutes, government, business and industry.

    For information on the conference click here.

    Key Dates:

    Deadline for Invited Paper Sessions 15th July 2024
    Deadline for Contributed Papers  15th Aug 2024
    Invited paper contributors informed of outcome 31st July 2024
    Contributed paper authors informed of outcome 9th Sept 2024
       
    Registration opens 15th July 2024
    Deadline for early registration 23rd Sept 2024

    For questions contact: John Boland john.boland@unisa.edu.au


    • 10 Dec 2024
    • 10:30 AM - 12:00 PM
    • Burnet Institute, Level 3 foyer, via 89 Commercial Road/Centre lane entrance
    Register

    Title: HIV cohorts and the development of methods to make causal inferences from observational data

    Speaker: Jonathan Sterne

    Biography: Jonathan Sterne is Director of the N Bristol Biomedical Research Centre, co-Director of Health Data Research UK South-West, and Professor of Medical Statistics and Epidemiology at the University of Bristol, UK. During the pandemic, he was co-lead of the UK’s Longitudinal Health and Wellbeing COVID-19 National Core Study, which linked population-scale electronic health records with highly characterised longitudinal population studies. This UK-wide collaboration produced research on COVID-19 vaccination and long COVID based on analyses of data on up to 55 million people, held within newly-created Secure Data Environments. Jonathan is Principal Investigator of the ART Cohort Collaboration of HIV cohort studies, which works closely with the HIV-CAUSAL collaboration based at the Harvard School of Public Health. 

    In-person: In-person attendants are asked to register for catering purposes (limit of 30 places).  In-person attendees to come directly to Level 3 foyer, via 89 Commercial Road/Centre lane entrance and they will be met by a Burnet Institute staff member. Registration form to please include email address and mobile, to meet Burnet Institute requirements for sign in of visitors. 10.30 am morning tea, 11am to 12pm seminar with time for questions. 

    In-person limited to 30 places. 

    Online meeting via zoom

    If you're interested in this event, you might also be interested in...

    Jonathan Sterne will be speaking on Estimating COVID-19 vaccine effectiveness using data from the OpenSAFELY whole-population secure data environment. 

    Time: 4 pm, 17 December

    Location: Bio21 Institute Auditorium,30 Flemington Road, Parkville.


    • 28 Dec 2024
    • 29 Dec 2024
    • Sri Lanka


    • 6 Feb 2025
    • 12:00 PM
    • 3 Apr 2025
    • Online- Weekly 1 hour meetings taking place Thursdays
    • 15
    Register

    The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.

    Places are limitedplease register early to take advantage of early bird discounts and secure a place.

     Topics:

    1. Introduction; Course Perspectives

    2.  Simple Random Sampling, Sampling Frames, and Introduction to Clustering

    3. Stratified Sampling I

    4. Stratified Sampling II, Systematic selection

    5. Cluster Sampling

    6. Unequal-Sized Clusters I

    7. Unequal-Sized Clusters II

    8. Variance Estimation

    Timeframe:

    February 6 – April 3, 2025. Weekly Meetings taking place Thursdays, 12:00 – 1:00 pm AEDT


    Course Objectives

     By the end of the course, participants will… ▪ understand the basic ideas, concepts and principles of probability sampling from an applied perspective ▪ be able to identify and appropriately apply sampling techniques to survey design problems ▪ be able to compute the sample size for a variety of sample designs ▪ understand and be able to assess the impact of the sample design on survey estimates ▪ be able to estimate the precision of the survey statistics using different estimation techniques


    Your instructor: Raphael Nishimura, PhD 

    Raphael Nishimura is the Director of Sampling Operations in Survey Research Operations at the Survey Research Center (SRC) in the Institute of Social Research of the University of Michigan. He has been working with sampling and survey statistics for over ten years. He holds a PhD in survey methodology from the University of Michigan and a bachelor’s degree in statistics from the University of São Paulo. His main research interest includes sampling methods, survey nonresponse and adaptive/responsive designs. Nishimura is also the director of the Sampling Program for Survey Statisticians of the SRC Summer Institute for Survey Research Techniques


    Prerequisites

     The course is presented at an intermediate statistical level. While we will not develop mathematical aspects of sampling theory, statistical notation and outlines of some algebraic proofs will be given. A sound background in applied statistics, proficiency in mathematics, including basic algebra, is necessary, since some algebraic derivations will be presented (although little emphasis will be placed on the derivations). A thorough understanding of the notation and algebraic results will be required.



    Grading will be based on:

    8 Homework assignments (50% of grade)

    ▪ 8 Quizzes (one at the start of each online session; 15% of grade)

    ▪ Participation in discussion during the weekly online meetings, submission of questions in the weekly discussion forum, demonstrating understanding of the required readings and video lectures, and positive contributions on the Discussion Forum, see below (10% of grade)

    ▪ A final open-book online exam (25% of grade)

    Early Bird Deadline
    Please book before 6 January 2025 to take advantage of the Early Bird Deadline.

    Prices include GST.

    Disclaimer

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

    Group bookings

    For group bookings, please email events@statsoc.org.au with the names, email addresses, and telephone numbers  of the participants in the group.

    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 the  Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20. 

    From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

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

    • 24 Feb 2025
    • 28 Feb 2025
    • Deakin University’s Melbourne CBD campus 727 Collins Street, Docklands VIC 3008

    Deakin Epidemiology is pleased to offer a summer Masterclass focused on Logistic regression to be delivered by arguably the world’s most famous teacher of this statistical technique – Prof. Stanley Lemeshow. In years past, Lemeshow together with Ken Rothman offered back-to-back masterclasses in Biostats and Epi in Tasmania which were a bit of an institution, with many epidemiologists and biostatisticians building their knowledge and networks by heading south for a healthy dose of upskilling or as a refresher. Stan has agreed to offer this program onshore once again in Australia, this time at Deakin University’s Melbourne CBD campus 727 Collins Street, Docklands VIC 3008.

    This 5-day course (Feb 24-28, 2025) will provide theoretical and hands-on practical knowledge and skills in statistical modeling with an in-depth focus on logistic regression analysis – the standard method for regression analysis of binary, multinomial and ordinal response data in health research. Each day comprises a 4-hr class in the morning and a 2-hr practical session in the afternoon and opportunities to network with fellow health and medical practitioners and researchers.”

    Places are limited, so get in early! For more information click here!


    • 22 May 2025
    • 11:00 AM
    • 12 Jun 2025
    • Online- Weekly 1 hour meetings taking place Thursdays
    • 15
    Register

    The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.

    Places are limitedplease register early to take advantage of early bird discounts and secure a place.

     Topics:

    1. Multistage Sampling

    2. Multistage Sampling

    3. Multistage Sampling & Area Sampling

    4.    Multiphase Design

    Timeframe:

    May 22 – June 12, 2025. Weekly Meetings taking place Thursdays, 11:00 am – 12:00 pm AEST. 


    Course Objectives

    By the end of the course, participants will… ▪ understand the principles of multistage sampling and its components ▪ beabletodesign and implement multistage sampling with different sampling techniques ▪ befamiliar with area sampling and how to use it in various contexts ▪ understand multiphase design and be able to implement it in various survey context


    Your instructor: Raphael Nishimura, PhD 

    Raphael Nishimura is the Director of Sampling Operations in Survey Research Operations at the Survey Research Center (SRC) in the Institute of Social Research of the University of Michigan. He has been working with sampling and survey statistics for over ten years. He holds a PhD in survey methodology from the University of Michigan and a bachelor’s degree in statistics from the University of São Paulo. His main research interest includes sampling methods, survey nonresponse and adaptive/responsive designs. Nishimura is also the director of the Sampling Program for Survey Statisticians of the SRC Summer Institute for Survey Research Techniques


    Prerequisites

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



     Grading will be based on:

    4 Homework assignments(50% of grade)

    ▪ 4Quizzes (one at the start of each online session; 15% of grade)

    ▪ Participation in discussion during the weekly online meetings, submission of questions in the weekly discussion forum, demonstrating understanding of the required readings and video lectures, and positive contributions on the Discussion Forum, see below (10% of grade)

    ▪ A final open-book online exam (25% of grade)


    Early Bird Deadline
    Please book before 31 March 2025 to take advantage of the Early Bird Deadline.

    Prices include GSTThere is also a discount of $150 for Sampling 2 if registering at the same time as Sampling 1 or have completed Sampling 1 in the past.

    Disclaimer

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

    Group bookings

    For group bookings, please email events@statsoc.org.au with the names, email addresses, and telephone numbers  of the participants in the group.

    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 the  Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20. 

    From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

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

    • 24 Jun 2025
    • 5:00 PM
    • 15 Jul 2025
    • Online- Weekly 1 hour meetings taking place Tuesdays
    • 15
    Register

    The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.

    Places are limitedplease register early to take advantage of early bird discounts and secure a place.

     Topics:

    1. Introduction & Missing Data Mechanisms

    2. Default Strategies of (Not) Dealing with Missing Data and Their Implications

    3. Common Misconceptions Regarding Imputation & Basic Imputation Methods

    4. More Advanced Imputation Methods & Multiple Imputation

    Timeframe:

    June 24 – July 15, 2025. Weekly Meetings taking place Tuesdays, 5:00 – 6:00 pm AEST


    Course Objectives

     By the end of the course, participants will… ▪ understand why the default way of dealing with missing data as implemented in most statistical software is often problematic. ▪ realize that it is better not to account for the missingness instead of applying simplistic imputation methods such as mean imputation or last-observation carried forward. ▪ know what is meant by a missing data mechanism and understand the implication of the different mechanisms. ▪ be familiar with the principle ideas and concepts of multiple imputation.


    Your instructor: Instructor Prof. Dr. Jörg Drechlser  

    Current positions:

    ▪ Interim head of the Department for Statistical Methods at the Institute for Employment Research, Germany

    ▪ Associate Research Professor, Joint Program in Survey Methodology, University of Maryland ▪ Honorary Professor, University of Mannheim

    Teaching engagements:

    • Instructor for three different courses in the International Program in Survey and Data Science

    • Regular short courses for various institutions and universities on data confidentiality and synthetic data

    Research areas:

    ▪ Missing data, imputation, data confidentiality


    Prerequisites

     ▪ Students should be familiar with generalized linear models and basic probability theory.

    ▪ The statistical software R will be used for illustrations and for (some of) the homework assignments. Thus, basic knowledge of R is required to be able to complete the assignments.

     Grading will be based on:

    2 online quizzes

    ▪ 2 homework assignments

    ▪ Participation in weekly meetings & engagement in discussion forums

    ▪ Final online exam


    Early Bird Deadline
    Please book before 30 April 2025 to take advantage of the Early Bird Deadline.

    Prices include GST.

    Disclaimer

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

    Group bookings

    For group bookings, please email events@statsoc.org.au with the names, email addresses, and telephone numbers  of the participants in the group.

    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 the  Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20. 

    From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

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

    • 15 Jul 2025
    • 18 Jul 2025
    • NH Leeuwenhoorst, Noordwijk, The Netherlands

    During the Spatial Statistics 2025 conference in Noordwijk, the Netherlands, specific attention will be given to the opportunities, including challenges to be addressed, that Artificial Intelligence (AI) opens up and how spatial statistics can be developed further with AI.

    The latest developments in spatial statistics will be presented, emphasising their contributions at the dawn of AI, now and in the future. The optimal use of collected data, predicting in space and time, object recognition and segmentation, and transferability in the presence of spatial and temporal correlations are typical, but not exhaustive examples.

    For more information on the conference:

    https://www.elsevier.com/events/conferences/all/spatial-statistics


    • 14 Aug 2025
    • 4:00 PM
    • 4 Sep 2025
    • Online- Weekly 1 hour meetings taking place Thursdays
    • 15
    Register

    The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.

    Places are limitedplease register early to take advantage of early bird discounts and secure a place.

     Topics:

     1. Basic Steps in Weighting 

    2. Basic Steps in Weighting (continued) 

    3. Calibration and Other Uses of Auxiliary Data in Weighting

    4.  Calibration (continued) and Replicate Weights

    Timeframe:

    August 14 – September 4, 2025. Weekly Meetings taking place Thursdays, 4:00- 5:00 pm AEST.


    Course Objectives

     By the end of the course, participants will have learned… ▪ The role of survey weights in population inference. ▪ Steps in weighting, including computation of base weights, nonresponse adjustments, and uses of auxiliary data. ▪ Nonresponse adjustment alternatives, including weighting cell adjustments, formation of cells using classification algorithms, and propensity score adjustments. ▪ Weighting via poststratification, raking, general regression estimation, and other types of calibration. ▪ How to assess if weights are not needed.


    Your instructor: Anna-Carolina Haensch 

    Current positions:

    ▪ Assistant Research Professor at University of Maryland

    ▪ Lecturer (Akademische Rätin) at LMU Munich

    Teaching engagements:

    ▪ Review of Statistical Concepts (IPSDS)

    ▪ Introduction to Machine Learning Techniques (GESIS Summer School)

    ▪ Introduction to Statistics and Data Science (LMU)

    Research areas:

    ▪ Synthetic Data

    ▪ Survey Sampling

    ▪ Missing Data


    Prerequisites

    ▪ Sampling theory,Applied sampling.

    ▪ Some experience with variance estimation and statistical analysis using survey data will be helpful.

    Intermediate knowledge of the R statistical computing software


     Grading will be based on:

     

     ▪ 4 Homework assignments(50% of grade)

    ▪ A take-home final exam (30% of grade)

    ▪ Class Participation (20% of grade) in discussion during the weekly online meetings and posting questions to the weekly discussion forum (deadline: 24 hours before class) demonstrating understanding of the required readings and video lectures


    Early Bird Deadline
    Please book before 30 May2025 to take advantage of the Early Bird Deadline.

    Prices include GST.

    Disclaimer

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

    Group bookings

    For group bookings, please email events@statsoc.org.au with the names, email addresses, and telephone numbers  of the participants in the group.

    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 the  Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20. 

    From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

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

    • 26 Aug 2025
    • 9:30 AM
    • 16 Sep 2025
    • Online- Weekly 1 hour meetings taking place Tuesday
    • 15
    Register

    The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.

    Places are limitedplease register early to take advantage of early bird discounts and secure a place.

     Topics:

      1. Overview of Big Data; Working with Big Data, Classical Statistical Approaches vs. Statistical Machine Learning

    2. Model Evaluation/Validation, K-Means Clustering

    3. Nearest Neighbors, CARTS

    4.   Random Forests

    Timeframe:

    August 26 – September 16, 2025. Weekly Meetings taking place Tuesdays, 9:30 - 10:30 am AEST.


    Course Objectives

     This course covers… ▪ an overview of key Big Data terminology and concepts ▪ an introduction to common data generating processes ▪ a discussion of some primary issues with linking Big Data with Survey Data ▪ issues of coverage and measurement errors within the Big Data context ▪ inference versus prediction ▪ general concepts from machine learning including signal detection and information extraction ▪ potential pitfalls for inference from Big Data ▪ key analytic techniques (e.g. classification trees, random forests, conditional forests) to process Big Data using R with example code provided


    Your instructor: Prof. Trent Buskirk 

    Current positions:

    ▪ Novak Family Professor of Data Science and Chair of the Applied Statistics and Operations Research Department at Bowling Green State University

    ▪ Adjunct Research Professor at the University of Michigan

    Dr. Buskirk is a Fellow of the American Statistical Association. His research includes the areas of Mobile and Smartphone Survey Designs, methods for calibrating and weighting nonprobability samples, and the use of big data and machine learning methods for health, social and survey science design and analysis. His research has been published in leading journals such as Cancer, Social Science Computer Review, Journal of Official Statistics, and the Journal of Survey Statistics and Methodology.


    Prerequisites

    No prerequisites.

    We recommend good understanding of the material typically taught in undergraduate statistics courses and some familiarity with regression techniques. While not a prerequisite, familiarity with the R software package (base R or R using Rstudio) is strongly encouraged.


     Grading will be based on:

     

    4 online quizzes (worth 5% each)

    ▪ Participation in discussion during the weekly online meetings and submission of questions to the weekly discussion forums demonstrating understanding of the required readings and video lectures (20% of grade).

    ▪ 3 homework assignments (worth 20% each)

    Early Bird Deadline
    Please book before 30 June.2025 to take advantage of the Early Bird Deadline.

    Prices includes GST.

    Disclaimer

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

    Group bookings

    For group bookings, please email events@statsoc.org.au with the names, email addresses, and telephone numbers  of the participants in the group.

    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 the  Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20. 

    From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

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

    • 14 Oct 2025
    • 2 Dec 2025
    • Online- Weekly 1 hour meetings taking place Tuesday
    • 15
    Register

    The Social Research Centre and the Statistical Society of Australia (SSA) are very proud to offer statistical training from the International Program in Survey and Data Science (IPSDS), a joint program of the University of Mannheim and the Joint Program in Survey Methodology at the University of Maryland.

    Places are limitedplease register early to take advantage of early bird discounts and secure a place.

     Topics:

     1. Intro: Bias-variance trade-off, cross-validation (stratified splits, temporal cv) and model tuning (grid and random search)

    2. Classification: Performance metrics (ROC, PR curves, precision at K) and class imbalance (over- and undersampling, SMOTE)

    3. Ensemble methods I: Bagging and Extra-Trees

    4. Ensemble methods II: Boosting (Adaboost, GBM, XGBoost) and Stacking

    5. Variable selection: Lasso, elastic net and fuzzy/ recursive random forests

    6. Support Vector Machines

    7. Advanced unsupervised learning: Hierarchical clustering and LDA

    8.  Interpreting (Variable Importance, PDP, ...) and reporting ML results

    Timeframe:

    October 14 – December 2, 2025. Tentative Weekly Meetings as follows (exact dates and times TBC):

    ▪ Week 1: Tuesday, October 14, 9:00 – 10:00 am AEDT

    ▪ Week 2: Tuesday, October 21, 6:00 – 7:00 pm AEDT

    ▪ Week 3: Tuesday, October 28, 6:00 – 7:00 pm AEDT

    ▪ Week 4: Tuesday, November 4, 6:00 – 7:00 pm AEDT

    ▪ Week 5: Tuesday November 11, 11:00 am – 12:00 pm AEDT

    ▪ Week 6: Tuesday November 18, 11:00 am – 12:00 pm AEDT

    ▪ Week 7: Tuesday, November 25, 11:00 am – 12:00 pm AEDT

    ▪ Week 8: Tuesday, December 2, 9:00 – 10:00 am AEDT


    Course Objectives

     By the end of the course, participants will… ▪ have a profound understanding of advanced (ensemble) prediction methods ▪ have built up a comprehensive MLtoolkit to tackle various learning problems ▪ know how to(critically) evaluate and interpret results from ''black-box'' models


    Your instructor: Prof. Trent Buskirk 

    Current positions:

    ▪ Novak Family Professor of Data Science and Chair of the Applied Statistics and Operations Research Department at Bowling Green State University

    ▪ Adjunct Research Professor at the University of Michigan

    Dr. Buskirk is a Fellow of the American Statistical Association. His research includes the areas of Mobile and Smartphone Survey Designs, methods for calibrating and weighting nonprobability samples, and the use of big data and machine learning methods for health, social and survey science design and analysis. His research has been published in leading journals such as Cancer, Social Science Computer Review, Journal of Official Statistics, and the Journal of Survey Statistics and Methodology.

    Your instructor: Prof. Christoph Kern

    Christoph Kern is Junior Professor of Social Data Science and Statistical Learning at the Ludwig-Maximilians-University of Munich and Project Director at the Mannheim Centre for European Social Research (MZES). He received his PhD in social science (Dr. rer. pol.) from the University of Duisburg-Essen in 2016. Before joining LMU Munich, he was a Post-Doctoral Researcher at the Professorship for Statistics and Methodology at the University of Mannheim and Research Assistant Professor at the Joint Program in Survey Methodology (JPSM) at the University of Maryland. His work focuses on the reliable use of machine learning methods and new data sources in social science, survey research, and algorithmic fairness

    Prerequisites

    Topics covered in Introduction to Machine Learning and Big Data (ML I), i.e.:

    ▪ Conceptual basics of machine learning (training vs. test data, model evaluation basics)

    ▪ Decision trees with CART

    ▪ Random forests

    Familiarity with the statistical programming language R is strongly recommended. Participants are encouraged to work through one or more R tutorials prior to the first-class meeting.

    Some resources can be found here:

    ▪ https ://rstudio.cloud/learn/primers

    ▪ http ://www.statmethods.net/

    ▪ https ://swirlstats.com/ ▪ https ://www.rcommander.com


     Grading will be based on:

     

     ▪ 4 homework assignments (10% each)

    ▪ 8 online quizzes (5% each)

    ▪ Participation in discussion during the weekly online meetings (20% of grade)

    Early Bird Deadline
    Please book before 15 August 2025 to take advantage of the Early Bird Deadline.

    Prices include GST. There is also a discount of $150 for Machine Learning II if registering at the same time as Introduction to Big Data & Machine Learning or have completed Introduction to Big Data & Machine Learning in the past.

    Disclaimer

    Participants will receive access data for the online course, in particular to any learning platform that may be used. The rights of use connected to the access data are personally assigned to the participant. Passing on the access data is not allowed. Also, the temporary transfer to third parties is not permitted.
    The right to use the transmitted access data, in particular with regard to any materials or video recordings provided, can only be exercised up to a maximum of 2 months after the program end. After expiration of this 2-months period, the access data will be deleted by Mannheim Business School (MBS). Before the expiration of this period, the participant may view the respective recorded course as often as desired and without time restriction.
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    Group bookings

    For group bookings, please email events@statsoc.org.au with the names, email addresses, and telephone numbers  of the participants in the group.

    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 the  Stripe processing fee (1.75% + $0.30 per transaction) and an SSA administration fee of $20. 

    From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

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

    • 24 Nov 2025
    • 28 Nov 2025
    • Canberra

    Come join the International Biometrics Society Australasian Region's biannual conference in the bush capital Canberra!

    https://biometricsociety.org.au/conference2025/

Past events

2 Dec 2024 ACT Branch Meeting -- Wilson Lecture 2024
27 Nov 2024 SSA SA November Branch meeting - CANCELLED
27 Nov 2024 9th Biennial ACSPRI Social Science Methodology Conference
26 Nov 2024 SSA Vic & Tas November Social Event
26 Nov 2024 Personal Journey Of Ann Eyland: A Webinar by Early Career & Student Statisticians Network and History Standing Committee of SSA
20 Nov 2024 Hobart-ECSSC Social- SUZIE LUCK’S CANTEEN & COCKTAIL BAR
20 Nov 2024 Perth-ECSSC Social Activity-The Palace Arcade Vic Park
20 Nov 2024 R-Ladies Melbourne -Leveraging the Power of Data in Sport
20 Nov 2024 Christchurch-ECSSC social- Misceo
19 Nov 2024 SSA WA End of Year Function (joint with ECSSC2024)
19 Nov 2024 Perth-ECSSC Social-Boston Brewery
18 Nov 2024 ECSSC 2024 Perth Hub Registration
18 Nov 2024 ECSSC 2024 Hobart Hub Registration
18 Nov 2024 Early Career & Student Statisticians Conference 2024
18 Nov 2024 ECSSC 2024 Christchurch Hub Registration
14 Nov 2024 NSW Branch: 2024 Annual Dinner
14 Nov 2024 SSA NSW Branch 2024 Annual Event with JB Douglas Award and Annual Lecture by Prof. Matt Wand
12 Nov 2024 SSA WA November: Flexible Transformations for Bayesian Score Calibration (Adam Bretherton)
7 Nov 2024 SSA VIC & TAS BELZ LECTURE DINNER
7 Nov 2024 SSA Vic & Tas Belz Lecture
6 Nov 2024 R-Ladies Sydney -Make your analysis shine with {gtsummary}
6 Nov 2024 SSA South Australian Branch meeting - The UK Clinical Practice Research Datalink
6 Nov 2024 CPD 185– Statistical Communication Workshop
31 Oct 2024 SSA SA October Branch Meeting - Estimands in Clinical Trials
30 Oct 2024 SSA NSW October Meeting - Christopher K Wikle - 2024 Data Science and Statistics (DSS) Lecture, from School of Mathematics and Applied Statistics, University of Wollongong (UOW)
29 Oct 2024 ACT Branch Meeting -- 2024 Dennis Trewin prize
28 Oct 2024 ECSSN and NZSA October Webinar-Presenting effectively at mixed-mode events presented by Karen Lamb
22 Oct 2024 SSA Vic & Tas October 2024 Event - SSA and MLAI Present: Industry Showcase
21 Oct 2024 Women in STEM Careers and Entrepreneurship Masterclass
17 Oct 2024 Moyal Medal Presentation and Lecture
15 Oct 2024 CPD-184 Introduction to Large Language Models for Statisticians
8 Oct 2024 SSA WA October: Periodogram Regression, Two-stage Mixed Effects Modelling of Tropical Cyclone Frequency (Sourav Das)
24 Sep 2024 ACT Branch Meeting -- Forecasting demand for Australian passports
24 Sep 2024 ECSSN and NZSA webinar: Analysing haphazard Surveys with mild-ish Assumptions with Gordana Popovic
23 Sep 2024 CPD 181- Machine Learning II
19 Sep 2024 SSA NSW: Early Career and Student Statisticians Career Event 2024
18 Sep 2024 SSA QLD Branch Meeting: Almost all log-scale output is readily interpretable
17 Sep 2024 SSA Vic & Tas September 2024 Event
10 Sep 2024 SSA WA September: Beyond Traditional Variables: A Statistical Framework for Modeling Complex Travel Behaviours and Preferences in New Zealand (Cecilia Xia, Rebecca Herbst)
6 Sep 2024 What is production anyway? MLOps for the curious presented by Julia Silge from Posit
5 Sep 2024 SSA Vic & Tas Bowling Social 2024 Event
4 Sep 2024 South Australian Branch Young Statistician Careers Evening
3 Sep 2024 Harnessing the Power of Predictive Analytics for Statisticians Presented by Our Strategic Partner Minitab
2 Sep 2024 Australasian Applied Statistics Conference
29 Aug 2024 ACT Branch Meeting -- A Neural-Statistical Hybrid Model for Spatio-temporal Prediction of Groundwater Dynamics in Bangladesh
27 Aug 2024 2024 SSA Annual General Meeting with Guest Speaker Lynne Giles presenting Congenital heart defects and educational outcomes: Findings from a South Australian data linkage study
27 Aug 2024 Personal Journey of Brian Phillips: A Webinar by Early Career & Student Statisticians Network and History Standing Committee of SSA
22 Aug 2024 SSA NSW August 22 – Gianni La Cava - Joint event with Royal Statistical Society’s section on Finance and Economics and The University of Sydney Business School - Sydney Uni – 7.00pm – 8.00pm
20 Aug 2024 SSA Vic & Tas August 2024 Event
20 Aug 2024 ECSSN and NZSA Joint Webinar: Setting up a reproducible data analysis project in R – featuring Github, renv, targets and more
13 Aug 2024 Joint SSA WA & IBS-AR Meeting: An In-depth Analysis of the Openness and Computational Reproducibility of Plant Pathology Journal Articles (Adam Sparks)
7 Aug 2024 SSA SA August Branch Meeting: Overview of the Intergenerational Health & Mental Health Study and Methods for using new data sources in the Australian CPI
1 Aug 2024 ACT Branch Foreman Lecture -- The ABCDE of Big Data - Analytics, Bias Correction, Classification, Data Integration and Evaluation.
31 Jul 2024 SSA QLD Branch Meeting: Using meta-research to quantify the implications of “publish or perish” on statistical reporting
30 Jul 2024 ECSSN and NZSA webinar: Are Statisticians Sufficiently Engaged with Public Policy?
16 Jul 2024 2024 SSA Vic & Tas July Event
14 Jul 2024 International workshop on Statistical Modelling (IWSM 2024)
28 Jun 2024 CPD 183- Quarto for Scientists presented by Nick Tierney
28 Jun 2024 CPD 182- Working Smarter with Targets presented by Miles McBain
26 Jun 2024 SSA QLD Branch Meeting: Statistical approaches for analysing multi-environment trials
25 Jun 2024 Canberra Branch Meeting -- Using Propensity Scores in Observational Data Analysis: Some Theory and a Practical Application
25 Jun 2024 ESCCN and NZSA webinar: Adventures in Statistics and Genetics: a brief history of the methods in Animal Breeding
19 Jun 2024 SSA SA Branch June Meeting: What goes into a global temperature number?
19 Jun 2024 SSA NSW June 19 – John Ormerod and Jackson Zhou - Sydney Uni – 5.30pm – 7.30pm
18 Jun 2024 SSA Vic & Tas: June Mentoring Event
18 Jun 2024 Stata The Easy Way: An introductory course designed to teach data preparation, analysis, regression and graphics
11 Jun 2024 SSA WA: Perth Biostats/Bioinfo Meetup 2024
29 May 2024 SSA QLD Branch Meeting: Applying statistics to 3D maps of our Universe to understand its history and future
28 May 2024 Canberra Branch May Meeting: Using Propensity Scores in Observational Data Analysis: Some Theory and a Practical Application
21 May 2024 2024 SSA Vic & Tas May Event
16 May 2024 SSA NSW May 16 – David Warton and Houying Zhu - Macquarie University – 11am – 2pm, lunch provided
14 May 2024 SSA WA: Early Career & Student Statisticians Evening
13 May 2024 FOURTH INTERNATIONAL CONFERENCE ON STEPPED WEDGE TRIAL DESIGN
8 May 2024 Join R Exchange 2024
2 May 2024 Artificial Intelligence and Statistics 2024
30 Apr 2024 Canberra Branch Meeting -- COVID-19 vaccine fatigue in Scotland
10 Apr 2024 Fast Integrative Factor Models: Applications from Nutritional Epidemiology to Cancer Genomics
9 Apr 2024 SSA WA April: Models for Alcohol Effects (Dr John Henstridge)
28 Mar 2024 SSA NSW: 2024 AGM + Lancaster Lecture by Dr Gordana Popovic
26 Mar 2024 Canberra Branch Meeting --Optimising Twin Uniform Distribution for Multiplicative Noise Data Masking
26 Mar 2024 SSA QLD Branch AGM and seminar
26 Mar 2024 CPD 175- Visualising high-dimensional data presented by Di Cook
26 Mar 2024 CPD 177- Introduction to Machine Learning with tidymodels Presented by Max Kuhn
26 Mar 2024 CPD 176- Visualising spatial uncertainty presented by Petra Kuhnert
21 Mar 2024 Assessing the risk of bias in studies evaluating the effects of interventions and of exposures
20 Mar 2024 SA Branch AGM
19 Mar 2024 Developing Standards
19 Mar 2024 SSA Vic & Tas AGM
12 Mar 2024 WA Branch AGM 2024 (Alex Jenkins)
20 Feb 2024 No installation required: Instant coding demos and workshops using dev containers and WebR
15 Feb 2024 CPD170 - Step by Step in Survey Weighting
13 Feb 2024 Sydney Privacy Workshop 2024
12 Feb 2024 ViCBiostat Summer School 2024
9 Feb 2024 Building Data Science Capacity within the BC Public Service: A Decade of Progress presented by Dr Stephanie Hazlitt Director, Data Science Partnerships, BC Stats
7 Feb 2024 CPD174 - An Introduction to Bayesian Modelling Using greta
6 Feb 2024 Canberra Branch Meeting -- Bayesian semi-mechanistic modelling with greta for ecology and epidemiology
6 Feb 2024 CPD169 - Introduction to Big Data & Machine Learning
5 Feb 2024 Bayes on the Beach 2024
8 Jan 2024 AMSI Summer School 2024
14 Dec 2023 OZCOTS 2023 Social
13 Dec 2023 SA Branch end-of-year dinner
12 Dec 2023 Early Career and Student Statisticians Network ASC Social
12 Dec 2023 ASC Social Activity- Five Barrels Brewery
12 Dec 2023 ASC Social Activity-Dynomite Indoor Climbing Gym
12 Dec 2023 ASC Social Activity-Walk up Mount Keira lookout
12 Dec 2023 ASC Social Activity- Buribun Art Weaving
10 Dec 2023 CPD159-ASC 2023 Workshop- Essential Skills for Statistical Communication
10 Dec 2023 CPD160-ASC 2023 Workshop-Statistical Consultancy – The Essentials for Getting Started and Ongoing Success
10 Dec 2023 CPD161-ASC 2023 Workshop-Deep Statistics for More Rigorous and Efficient Data Science
10 Dec 2023 ASC and OZCOTS 2023
4 Dec 2023 Workshop on Causal and Explainable Artificial Intelligence
4 Dec 2023 Clinical Registry Data Analysis Using Stata
4 Dec 2023 Bayesian Non-Parametric Networking Workshop
1 Dec 2023 CPD173- Creating data plots for effective decision-making using statistical inference with R, presented by Dianne Cook
1 Dec 2023 CPD172- Interactive web applications with Shiny for R presented by Mitchell O'Hara-Wild
1 Dec 2023 CPD171- Deploying your model code into production with Microsoft Azure, presented by Dean Marchiori
28 Nov 2023 SSA WA: 2023 End of Year Function
27 Nov 2023 2023 International Biometric Society Australasian Region conference
24 Nov 2023 Statistical Consulting Network November Meet-Up
22 Nov 2023 NSW Branch: 2023 Annual Dinner
22 Nov 2023 NSW Branch: 2023 Annual Event: JB Douglas Award, Annual Lecture by Prof. Sally Cripps, Annual Dinner
21 Nov 2023 SSA Vic & Tas Panel Discussion - Statisticians in Society
21 Nov 2023 Canberra Branch Meeting -- Knibbs lecture 2023
16 Nov 2023 SSA QLD Branch Meeting: ASC Scholarship Showcase
16 Nov 2023 ECSSN Nov Event-From Student to Data Professional: Keys to Success in Australasian Data Industry
15 Nov 2023 SA Branch: 2023 E.A. Cornish Memorial Lecture
14 Nov 2023 SSA WA November: Maintenance Policy for a Latent Degradation System (Dr Soudabeh Shemehsavar)
14 Nov 2023 Surviving Grant Season: Lessons Learned & Practical Tips for NHMRC, MRFF and Investigator Grant development
13 Nov 2023 ASC 2023 Tees
8 Nov 2023 Value of Networking and Mentoring to Achieve Your Best: Do you have to be a Superwoman to be Successful?
1 Nov 2023 17th IEEE International Conference on Big Data Science and Engineering
30 Oct 2023 SSA Vic & Tas Hacky Hour - Building R packages
27 Oct 2023 Statistical Consulting Network October Meet-Up
27 Oct 2023 Integrating Large Language Models (LLMs) into the Data Science Workflow Speaker: Rohan Alexander
26 Oct 2023 ECSSN and NZSA October Webinar: An academic journey in pursuing the art of statistics
18 Oct 2023 SSA QLD Branch Meeting: From uncertainty to certainty: Exploiting parameter relationships to manage uncertainty in mathematical modelling
18 Oct 2023 Evaluation of Extreme Forecasts
18 Oct 2023 Canberra Branch Meeting -- Dennis Trewin prize 2023
18 Oct 2023 SA Young Statistician Career Event
17 Oct 2023 SSA Vic & Tas Belz Lecture dinner
17 Oct 2023 SSA Vic & Tas Belz Lecture: Mathematics, Gender and Statistics
17 Oct 2023 Australian Trials Methodology Conference 2023
16 Oct 2023 Platform trials and master protocols
10 Oct 2023 SSA WA October: Large Language Models, and Multi-Modalities (Dr Caren Han)
10 Oct 2023 Canberra Branch Meeting -- Bayesian Inference for Construction of Inverse Models from Data
29 Sep 2023 Statistical Consulting Network September Meet-Up
28 Sep 2023 SSA NSW: Early Career and Student Statisticians Career Event 2023
28 Sep 2023 CPD168- Careers Masterclass Series
20 Sep 2023 SSA QLD Branch Meeting: Counting all the fish in the MCM"SEA"
20 Sep 2023 Risk & Insurance Insights: Why Statisticians should have Cyber & Professional Indemnity Insurance
19 Sep 2023 SSA Vic & Tas - Early Career and Student Statistician Showcase
19 Sep 2023 The 6th ISM International Statistical Conference ISM-VI 2023
12 Sep 2023 SSA WA September: Gaussian Process Modelling in Large Astronomical Surveys (Shih Ching Fu)
29 Aug 2023 Canberra Branch Meeting -- The practitioner’s guide to machine learning quality in the ABS
25 Aug 2023 Statistical Consulting Network August Meet-Up
24 Aug 2023 SSA and ASPAI AGMs and Q & A for the Strategic Plan
24 Aug 2023 Venables Award seminar
23 Aug 2023 SSA QLD Branch Meeting: Collecting and Analysing Data through the Lens of a Behavioural Economist
22 Aug 2023 Trivia with SSA Vic & Tas
16 Aug 2023 SSA SA Branch meeting: The Role of Statisticians in Addressing the Poor Quality of Clinical Research (webinar)
16 Aug 2023 SSA NSW August event: A/Prof Anastasios Pangiotelis - Forecast Reconciliation: A Review
16 Aug 2023 Introduction to Data Linkage for Research
15 Aug 2023 Applications in long-term forecasting, derivatives valuation, anomaly detection, and machine learning
8 Aug 2023 Joint SSA WA & IBS-AR Meeting: Designing Efficient Clinical Trials (Michael Dymock)
5 Aug 2023 CPD165 - Machine Learning with Python
2 Aug 2023 SSA QLD Branch Meeting: Evidence of statistical "hacking" in clinical prediction models
28 Jul 2023 Statistical Consulting Network July Meet-Up
26 Jul 2023 Canberra Branch Meeting -- ChatGPT and Large Language Models: A Computational Linguistics Perspective
25 Jul 2023 Hacky hour - SSA Vic & Tas
20 Jul 2023 ECSSN & NZSA webinar-SmP2023: Perspectives from two Early Career Statisticians
18 Jul 2023 Spatial Statistics 2023: Climate and the Environment Inbox
17 Jul 2023 IWSM 2023- The 37th International Workshop on Statistical Modelling
16 Jul 2023 64 World Statistics Congress
10 Jul 2023 SMC Down Under
3 Jul 2023 AMSI Winter School 2023 on Modelling our Changing Biosphere.
30 Jun 2023 Statistical Consulting Network June Meet-Up
28 Jun 2023 SSA QLD Branch Meeting: Structural Choice Modelling: An Extension and Generalisation of McFadden's Multinomial Logit
27 Jun 2023 SSA Vic & Tas mentoring night
27 Jun 2023 Canberra Branch Meeting -- Statistically Significant or Signifying Statistics?
27 Jun 2023 SSA NSW June event: Prof Lucy Marshall - Quantifying the known unknowns
23 Jun 2023 Statistics and Data Science Education: Connecting Disciplines
22 Jun 2023 Much More Than Just Fitting Models - Perspective from an Applied Statistical Scientist
15 Jun 2023 Navigating the Australian research funding landscape: a networking evening
15 Jun 2023 Novel applications of cross-sectoral data linkage to understand and reduce health inequities among Australians in contact with the criminal justice system
13 Jun 2023 SSA WA: Perth Biostats/Bioinfo Meetup 2023
31 May 2023 How to Become a Fellow of the Australian Academy of Science
30 May 2023 SSA Vic & Tas May Event: What's new in the tidyverse? by Professor Mine Çetinkaya-Rundel
30 May 2023 Canberra Branch Meeting -- Statistical methods for quantifying empathic accuracy
29 May 2023 ACSPRI Masterclasses in Choice Modelling
26 May 2023 Statistical Consulting Network May Meet-Up
17 May 2023 SSA NSW May event: Dr Gery Geenens - Towards a universal representation of statistical dependence -
9 May 2023 SSA WA: Early Career & Student Statisticians Evening
9 May 2023 Just a few days left to submit a rapid-fire talk to RSS 2023 Conference
8 May 2023 Instats courses
4 May 2023 Getting to Know: The Australia Bureau of Statistics
3 May 2023 Tomorrow’s Leaders
2 May 2023 Canberra Branch Meeting -- Machine Learning at the AIHW
28 Apr 2023 Statistical Consulting Network April Meet-Up
27 Apr 2023 CPD-164 Nonstationary Time Series: Techniques and Tools (Prof. Guy Nason)
24 Apr 2023 SSA ECSSN & WA: A Drink with Prof. Guy Nason
20 Apr 2023 Getting to Know: Stats New Zealand
20 Apr 2023 CPD163- Mathematical Engineering of Deep Learning - Part One Foundations
18 Apr 2023 SSA WA: Network Time Series (Prof. Guy Nason, 2023 Frank Hansford-Miller Fellow)
31 Mar 2023 Statistical Consulting Network March Meet-Up
30 Mar 2023 Academia vs Industry: A statistical viewpoint
30 Mar 2023 Fundamentals of Qualitative Research - March 2023
29 Mar 2023 SSA QLD branch AGM and seminar
28 Mar 2023 20 years of statistical bioinformatics: a brief history of the limma and edgeR packages
28 Mar 2023 SSA Vic branch Annual General Meeting
28 Mar 2023 Canberra Branch AGM and Meeting -- Estimation of daily smoking prevalence for disaggregated statistical areas in Australia
22 Mar 2023 SSA SA Branch - 2023 Annual General Meeting
21 Mar 2023 Webinar: Why statisticians should have a tailored insurance program
21 Mar 2023 Use linear, logistic, Poisson and its variants regressions in the context of longitudinal studies in health and medical research.
16 Mar 2023 SSA NSW: 2023 AGM + Lancaster Lecture
16 Mar 2023 Core Skills - Getting started with Storyfinding
14 Mar 2023 WA Branch AGM 2023 (A/Prof. Silvana Gaudieri)
8 Mar 2023 CPD 157-Small Area Estimation Workshop: Combining Census and survey data to create reliable local-area estimates
1 Mar 2023 2023 Statistical Society of Australia (SSA) Welcome Event
28 Feb 2023 Canberra Branch Meeting -- Trials and Triumphs with survey estimation
24 Feb 2023 Statistical Consulting Network February Meet-Up
21 Feb 2023 Causal inference in Econometrics and Health Sciences
8 Feb 2023 SSA QLD Branch Meeting: Bad statistics: What can journals do?
6 Feb 2023 CPD155- The Necessary SQL - An Introduction to SQL with Daniel Fryer
16 Jan 2023 AMSI Summer Careers Day 2023
9 Jan 2023 AMSI Summer School 2023
7 Dec 2022 SSA Vic: Virtual social event
6 Dec 2022 Canberra Branch -- Knibbs lecture 2022
5 Dec 2022 NSW Branch: 2022 Annual Dinner
5 Dec 2022 NSW Branch: 2022 Annual Event: JB Douglas award, Annual lecture by Prof. Marijka Batterham, Annual Dinner
1 Dec 2022 The Time Series and Forecasting Symposium
1 Dec 2022 The 2022 ANZRSAI Conference: Australia and New Zealand Regional Science Association International 45th Annual Conference, 2022
29 Nov 2022 SSA WA: End of Year Function
29 Nov 2022 The Limits of Predictability
28 Nov 2022 Australasian Applied Statistics Conference 2022
25 Nov 2022 Statistical Consulting Network November Meet-Up
24 Nov 2022 Designing Data Visualization To Make a Real Impact On Your Audience (Data Visualization Stream)
23 Nov 2022 8th Biennial ACSPRI Social Science Methodology Conference 2022
22 Nov 2022 CPD156- A crash course on using machine learning methods effectively in practice
21 Nov 2022 ADSN Inaugural Conference
21 Nov 2022 BioInfoSummer 2022
21 Nov 2022 The FMfI (Forum Math-for Industry) Forum 2022 – “Mathematics of Public Health and Sustainability”
17 Nov 2022 SSA WA: Careers Panel, Networking & Sundowner
16 Nov 2022 The APCMfI (Asia Pacific Consortium of Mathematics for Industry) Conference – “Statistics and Mathematical Modelling in Combination”
15 Nov 2022 Enacting sovereign rights of Aboriginal and Torres Strait Islander people in official statistics and other data - Dr Kalinda Griffiths
15 Nov 2022 SSA and NZSA ECSS Miniconference 2022
10 Nov 2022 WAPOR 75th Annual and WAPOR Asia Pacific 5th Conference
9 Nov 2022 SSA NSW Branch: November Event - Andrew White - How the ARDC helps researchers maximise impact
9 Nov 2022 CPD153 - Time series analysis and forecasting using R
2 Nov 2022 SSA QLD Branch Meeting: Test anything with Universal Inference
28 Oct 2022 Statistical Consulting Network October Meet-Up
26 Oct 2022 SSA NSW Branch: October Event - Brian Cullis - Optimal Design of Comparative Experiments and the odw R Package
25 Oct 2022 Canberra Branch -- Dennis Trewin prize 2022
25 Oct 2022 Introduction to Linear Regression (Basic Statistics Stream)
20 Oct 2022 SSA Vic Belz Dinner
20 Oct 2022 SSA Vic Belz Lecture
20 Oct 2022 EC Bayes Seminar Series: Quan Vu (University of Wollongong)
20 Oct 2022 CPD154-Estimands, Estimators and Estimates: Aligning target of estimation, method of estimation, and sensitivity analysis
14 Oct 2022 Stochastic spatial random forest for detecting remotely sensed forest cover change despite missing data
13 Oct 2022 4th International Conference on Statistical Distributions and Applications (ICOSDA 2022)
13 Oct 2022 SSA & NZSA ECSSNs joint event: From PhD to post-doc: navigating life as an early-career researcher
12 Oct 2022 CPD152 - DIY R Package Workshop
12 Oct 2022 CPD147 – Sampling course
11 Oct 2022 SSA WA: Evaluation of spatial Bayesian Empirical Likelihood models in analysis of small area data (Dr Farzana Jahan)
11 Oct 2022 International Day for Women in Statistics and Data Science (IDWSDS)
5 Oct 2022 SSA QLD Branch October Meeting: clusterBMA: Combine insights from multiple clustering algorithms with Bayesian model averaging
30 Sep 2022 Statistical Consulting Network September Meet-Up
29 Sep 2022 SSA NSW: Early Career and Student Statisticians Career Event 2022
27 Sep 2022 The 2022 AEM Annual Statistics Conference
21 Sep 2022 SSA NSW Branch: September Event - Tom Honeyman - Recognising the value of research software
21 Sep 2022 SSA SA Branch September Meeting
20 Sep 2022 SSA Vic Early Career Panel
18 Sep 2022 34th Annual Conference of the International Society for Environmental Epidemiology (ISEE)
15 Sep 2022 SSA & NZSA ECSSNs Joint Event: The Academia-Industry War: Surviving the conflict between two opposing ideals as a graduate student
13 Sep 2022 SSA WA: Geostatistics for Regionalised Compositions (A/Prof. Ute Mueller)
12 Sep 2022 RSS International Conference 2022
8 Sep 2022 SSA Venables Award Winners 2022 seminar
7 Sep 2022 SSA SA Branch - Young Statistician's Career Evening
6 Sep 2022 A step toward the future – supporting the 2021 Census with integrated administrative data
30 Aug 2022 Canberra Branch Meeting -- Impacts of COVID-19, social distancing and movement restrictions on crime in NSW, Australia.
30 Aug 2022 SSA/ASPAI AGMs 2022, followed by presentation "Measuring Sex, Gender Identity, and Sexual Orientation"
29 Aug 2022 Kernel Stein discrepancy minimization for MCMC thinning in cardiac electrophysiology
26 Aug 2022 Statistical Consulting Network August Meet-Up
24 Aug 2022 SSA NSW Branch: August Event - Steph Stammel - Managing uncertainty: statistics and econometrics as part of a multidisciplinary approach
24 Aug 2022 SSA SA August Branch Meeting: The design and analysis of a two-phase experiments involving human subjects
18 Aug 2022 “Meet Our Reps” - SSA & NZSA ECSSNs Joint Event
9 Aug 2022 Joint SSA WA & IBS-AR Meeting: Non-parametric and semi-parametric models for analysing longitudinal data (Dr Kefei Chen)
9 Aug 2022 SSA Vic: Social event - Pub Trivia, Richmond
3 Aug 2022 SSA NSW Branch: July Event (in August) - Shila Ghazanfar - Mosaic single cell data integration
3 Aug 2022 SSA QLD Branch Meeting: Considering patient outcomes and healthcare costs when obtaining prediction model cutpoints may improve value-based care
29 Jul 2022 Statistical Consulting Network July Meet-Up
26 Jul 2022 Joint Canberra Branch + ABS Foreman Lecture -- How the ABS ensures that data from the Census is of high quality
23 Jul 2022 CPD151- MACHINE LEARNING WITH PYTHON
21 Jul 2022 SSA Vic July Event-"Really Useful Engines - Engineering Data Science" by Miles McBain
20 Jul 2022 SSA SA July Branch Meeting: ANZHFR - data presentation for different audiences
18 Jul 2022 IWSM 2022 International Workshop on Statistical Modelling
11 Jul 2022 2021 Census Aboriginal and Torres Strait Islander data seminar
10 Jul 2022 International Symposium on Forecasting
10 Jul 2022 XXXI International Biometric Conference (IBC 2022) - external event
7 Jul 2022 2021 Census National Data Seminar
6 Jul 2022 ICM 2022 - external conference
29 Jun 2022 Canberra Branch Meeting -- Current state and prospects of R-packages for the design of experiments by Emi Tanaka
29 Jun 2022 Biostatistics & Bioinformatics Section Webinar: Cross-Platform Omics Prediction Procedure: a game changer for implementing precision medicine
24 Jun 2022 Statistical Consulting Network June Meet-Up
22 Jun 2022 Economic Evaluation Alongside Clinical Trials: Principles of Study Design and Decision Analysis
21 Jun 2022 SSA Vic Mentoring Night
16 Jun 2022 SSA NSW Branch: June Event - Matt Moores - Bayesian Analysis of Raman Spectroscopy
15 Jun 2022 SSA SOUTH AUSTRALIAN BRANCH MEETING-The UK Coronavirus Dashboard: How We Provide a Daily, High Demand Service
15 Jun 2022 AIFS 2022 Conference
14 Jun 2022 SSA WA: Perth Biostat/Bioinfo Meetup
7 Jun 2022 Canberra Branch Meeting -- Flexible models for clustered data
7 Jun 2022 Frontiers in Biostatistics: Celebrating 10 years of ViCBiostat
27 May 2022 Statistical Consulting Network May Meet-Up
26 May 2022 Early Career Bayes Seminar for 2022
23 May 2022 SAE 2022: Small Area Estimation, Surveys and Data Science
20 May 2022 TIES Webinar Series on Data Science for Environmental Sciences (DSES)
19 May 2022 SSA NSW Branch: May Event - Michael Bewley, From AI to Action
17 May 2022 SSA Vic May Event
12 May 2022 CPD 129-Introduction to Machine Learning for Health Data
11 May 2022 SSA QLD Branch Meeting: Regressing the periodogram
11 May 2022 Statistics for Your Grant Applications
10 May 2022 SSA WA: Early Career & Student Statisticians Evening
3 May 2022 SSA-AMSI Data Science Review: Purpose and Arrangements
29 Apr 2022 Introducing the Statistical Consulting Network Monthly Meet-Ups
27 Apr 2022 SSA NSW Branch: : April Event by Prof Benoit Liquet-Weiland and Dr Sarat Babu Moka
27 Apr 2022 Queensland branch AGM and talk
26 Apr 2022 SSA Vic + Canberra + SCV + ARDC April Event: Research software engineers: how will they shape statistics?
12 Apr 2022 SSA WA: On Arbitrarily Underdispersed Discrete Distributions (Dr Alan Huang)
6 Apr 2022 What’s It Going to Take to Get Your Study Started? Pilot and Feasibility Studies
31 Mar 2022 SSA Welcome Event
30 Mar 2022 SSA Vic March Event
30 Mar 2022 SSA Vic AGM
30 Mar 2022 COVID-19: Unexpected Opportunities and Lessons for Australia's Biostatistics, Bioinformatics and Epidemiological Community
29 Mar 2022 Canberra Branch Meeting -- Modelling of Group-Testing Data in Biosecurity
23 Mar 2022 SSA NSW: 2022 AGM + Lancaster Lecture
11 Mar 2022 Queensland Branch Meeting: Linking Heterogeneous Human Cognition with Household Financial Stress in an Agent-Based Model: Livestock Vaccine Decision-Making Among the Global Poor.
8 Mar 2022 WA Branch AGM 2022 (Prof. Elvezio Ronchetti)
7 Mar 2022 "Raising the Bar for Australian Data Science"
7 Mar 2022 Statistics for Research Workers using R and R Markdown.
3 Mar 2022 Current Innovations in Probability-based Household Internet Panel Research
1 Mar 2022 Canberra Branch Meeting featuring Dr Clara Grazian
23 Feb 2022 Kicking Off Your Research: How to Craft a Well-defined Research Question
17 Feb 2022 Gender Equality in Mathematics
8 Feb 2022 Sample Size and Power Calcu