Events calendar

Upcoming events

    • 21 Oct 2019
    • 9:00 AM - 5:00 PM
    • Sydney
    • 0
    Registration is closed


                     

    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
    Dealing with observed and unobserved effect moderators when estimating population average treatment effects

    Many decisions in public health and public policy require estimation of population average treatment effects, including questions of cost effectiveness or when deciding whether to implement a screening program across a population. While randomized trials are seen as the gold standard for (internally valid) causal effects, they do not always yield accurate inferences regarding population effects. In particular, in the presence of treatment effect heterogeneity, the average treatment effect (ATE) in a randomized controlled trial (RCT) may differ from the average effect of the same treatment if applied to a target population of interest. If all treatment effect moderators are observed in the RCT and in a dataset representing the target population, then we can obtain an estimate for the target population ATE by adjusting for the difference in the distribution of the moderators between the two samples. However, that is often an unrealistic assumption in practice. This talk will discuss methods for generalizing treatment effects under that assumption, as well as sensitivity analyses for two situations: (1) where we cannot adjust for a specific moderator observed in the RCT because we do not observe it in the target population; and (2) where we are concerned that the treatment effect may be moderated by factors not observed even in the RCT. These sensitivity analyses are particularly crucial given the often limited data available from trials and on the population. The methods are applied to examples in drug abuse treatment. Implications for study design and analyses are also discussed, when interest is in a target population ATE. 

    Biography

    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 estimate to target populations and 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. She also serves as Evidence Workgroup lead for the Bloomberg American Health Initiative. 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. She currently serves as Chair of the National Institute of Mental Health’s Services review panel (SERV). 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.
    • 23 Oct 2019
    • 5:30 PM - 7:00 PM (UTC+10:30)
    • Engineering & Maths EM G07, The University of Adelaide, North Terrace

    Branch Meeting - Wednesday, 23rd October 2019

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

    Venue: Engineering and Maths Science Building, Room EMG07 - Maths Seminar Room, 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 Jasmin Indian Restaurant, 31 Hindmarsh Square, Adelaide SA 5000. Please RSVP for dinner to sutters@bigpond.net.au by 21st October as we are usually unable to change the booking numbers at the last minute.


    Speaker: Dr David Baird

    Topic: A consultant's care book: Interesting cases from 35 years of statistical consultancy

    Abstract

    Over the past 35 years I've applied statistics to agronomy, soils, animals, entomology, meteorology, fisheries, forestry, GIS, genetics, ecology, biocontol, biosecurity, surveys, health and earthquakes. In this talk I will look at interesting cases from this work including: experimental designs for animal and field trials, eradication programs on introduced moths, biocontrol programs for weevils, impacts of pasture endophytes on animal performance, analysis of two-colour microarrays, financial estimates from the Christchurch earthquakes.

    Biography

    Dr David Baird is a biometrician with 35 years' experience. He did his MSc in applied statistics at the University of Reading with Roger Mead on the nearest neighbour analysis of field trials and a PhD in Statistics at the University of Otago with supervisors Roger Mead and David Fletcher on the design of experiments. He worked with AgResearch for 25 years as a statistical consultant and developed their two-colour microarray analysis suite. He was the statistical consultant on 4 biosecurity eradication programmes, and has been the statistical consultant for the NZ Earthquake Commission for the last 8 years. He has been one of the main developers of the Genstat statistical package for over 25 years.


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




    • 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.
    Venue details

    This year's Belz dinner will be held at University House at The Woodward - at the top of the University of Melbourne's Law building. Join us for a three-course dinner, drinks included, as we enjoy the delicious food and beautiful views.


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

    Tickets are limited and will only be available up until the 27th of October. To purchase a ticket at the member rates you need to be logged in to your account.

    Booking information

    To buy tickets at the member prices you must be logged in to your account and have current SSA membership. To log in to your account open this link and enter your login details. Once you are logged in, refresh this page and the member tickets will be available to purchase.

    • 4 Nov 2019
    • 9:00 AM
    • 5 Nov 2019
    • 5:15 PM
    • Macquarie University Sydney City Campus
    • 10
    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.

    • 5 Nov 2019
    • 5:00 PM (UTC+10:00)
    • Brisbane ABS Offices, Level 8, 295 Ann Street, City

    Speaker: Chris Libreri, General Manager Census Division, Australian Bureau of Statistics

    Abstract: TBC

    • 5 Nov 2019
    • 7:00 PM (UTC+08:00)
    • Perth, WA

    Dear Young Statistician SSA WA branch members,

    The Statistical Society of Australia (SSA) WA Branch invites Young Statisticians in WA to a casual meet and drinks with Professor Cathryn Lewis, who is the appointed SSA WA Branch 2019 Frank Hansford-Miller Fellow. The SSA definition of a Young Statistician is a current student in statistics or those who have graduated within the last 5 years working in a statistics related field (no age restrictions). Those who are not Young Statisticians may tell their students and mentees of this event (which is in exam time unfortunately!)

    Professor Cathryn Lewis has a stellar career which can be gleaned by a quick look at her credentials. See https://www.kcl.ac.uk/lsm/research/divisions/gmm/departments/mmg/researchgroups/clewis/Biography

    Come and meet Cathryn and other Young Statisticians in a casual setting at the Little Creatures Fremantle Brewery at the bar from 7pm on Tuesday 5th November.

    https://www.zomato.com/perth/little-creatures-fremantle-brewery-fremantle/menu

    All drinks and food purchases are at your expense.

    RSVPs will be appreciated to help book a table if required. Please send these to our Young Statisticians’ Representative Deneegan Subramanian at deneegan@gmail.com preferably by C.O.B. Monday 4th November.

    Kind Regards,

    Brenton

    President of the WA Branch of the Statistical Society of Australia


    • 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

    • 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.  

    A list of all other presenters and topics for the day can be viewed here.


    General

    Registration Fee

    SSA

    Members

    Students

    Staff or Students of

    ASEARC members

    $450

    $400

    $150

    $60


    To register or for further information, please email Michele Boatswain at micheleb@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

    The November SSA WA branch Seminar will be given by Cathryn Lewis from King's College London. Details to be announced closer to the date.

    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
    Register

    This page is setup to support credit card facilities for sponsorship to the annual J.B. Douglas Awards. 

    • 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
    • 1:00 PM - 6:00 PM
    • Aerial Function Center, UTS

    Each year, the Statistical Society of Australia NSW Branch organises the J.B. Douglas Award which showcases some of the best research work of the brightest postgraduate students in NSW. 

    More details will follow when the programme is finalised.

    • 13 Nov 2019
    • 6:00 PM - 7:00 PM
    • Aerial Function Center, UTS

    P-values: the good, the bad and the wrong

    P-values have long been a mainstay of statistical analysis but have been increasingly subject to criticism and controversy. Contributions to the P-value controversy have ranged from calls for an outright ban on reporting P-values, through to measured consensus statements on the pros and cons, through to more wholehearted defences. In this talk, drawing on some of the recent discussion in the literature (including the American Statistical Society statement) I will consider some of the valid uses of P-values (the “good”) along with some of their invalid and undesirable uses (the “bad”). In addition, I will attempt to debunk some of the invalid arguments that have been presented against P-values (the “wrong”). Overall, I will present a case that P-values are never the most important aspect of an analysis, but they can add some useful supplementary information to other more informative tools, such as point estimates, standard errors and confidence intervals. Whatever one’s position on P-values, it is important to use sound logic and avoid invalid arguments in reaching that position.

    Biography

    Ian Marschner is Professor of Biostatistics at The University of Sydney, in the NHMRC Clinical Trials Centre. He has 30 years of experience as a biostatistician working on health and medical research, particularly involving randomised clinical trials. His research involves new methodological developments in various areas of statistical design, analysis and computation, and has been supported by NHMRC, ARC and industry funding schemes. Professor Marschner has held senior appointments in both academia and industry, including Head of the Department of Statistics at Macquarie University, Director of the Asia Biometrics Centre with the pharmaceutical company Pfizer, and Associate Professor of Biostatistics at Harvard University.


    • 13 Nov 2019
    • 7:00 PM - 10:00 PM
    • Aerial Function Center
    Register

    After a discussion on p-values from the Annual Lecture by Prof Ian Marschner, why not wind down (or up) to dinner straight after? You can continue the conversation on p-values or start up a conversation on another topic.

    Members and guests are invited to join us from 7:00pm for the Branch’s Annual Dinner, after the Annual Lecture. 

    If you sign up for dinner before 25th October, you can save $10! 

    If you would like to join us for dinner it is necessary to book in advance using this site.

    The dinner includes drinks (beer, wine, fresh chilled juices and soft drink) and a full course buffet style menu comprising of cold selection entrees (bread rolls, antipasto, salads, etc.), hot dishes (beef, chicken, seafood, vegetarian) and assorted sweets for dessert.

    Students can save further $3 by signing up as a member. Student membership is only $20.

    Students who wish to take advantage of the reduced rate must provide a current student identification. A scanned copy can be e-mailed to the SSA NSW Branch Treasurer, Boris Beranger (b.beranger@unsw.edu.au).

    If you are not a member but wish to become one, you can do so at http://www.statsoc.org.au/membership/how-to-join/.


    • 18 Nov 2019
    • 9:00 AM - 5:00 PM
    • Eliiza, Level 2, 452 Flinders St, Melbourne, VIC 3000
    Register

    Machine learning is a set of techniques that can reveal hidden patterns in data, and allows you to make predictive systems that grow ever more accurate the more data they learn from. Join us for two insightful workshops on machine learning and Python hosted by SSA Vic and Eliiza.

    Getting started with Machine Learning will cover the concepts and workflows involved in constructing these models. Getting started with TensorFlow will involve a deeper look into deep learning and the TensorFlow software framework, including the unique challenges involved in working with such models.


    Getting started with Machine Learning

    Morning workshop (9am to 12:30pm), presented by Patrick Robotham

    This is a hands-on course for making predictive models using machine learning. We will use Python libraries such as pandas and scikit-learn to analyse a dataset and make a predictive model.  We will then discuss ideas such as the bias-variance tradeoff for improving machine learning models and apply it to the models built earlier. Throughout the workshop you will program a sequence of Jupyter notebooks and gain experience in working with data in Python. The workshop will conclude with a discussion of how to deploy machine learning models into real world systems.

    At the end of this workshop you will be able to:

    • Use the Python libraries pandas and numpy to import and manipulate data
    • Use scikit-learn to construct linear and tree-based models
    • Know the difference between classification and regression
    • Evaluate a predictive model with appropriate metrics and plots
    • Improve a machine learning model using hyperparameter tuning.

    Getting started with TensorFlow

    Afternoon workshop (1:30pm to 5pm), presented by Patrick Robotham

    Neural networks are a family of machine learning models that can take data in a wide variety of formats and learn non-linear patterns in data by training millions of parameters simultaneously. Neural networks, also known as “Deep Learning”, have become more popular since they were used to win the 2012 ImageNet Challenge. This workshop will teach you how to use the TensorFlow framework to construct neural networks and apply them to tasks such as image recognition.

    The workshop will cover:

    • The backpropagation algorithm
    • The keras functional API
    • Convolutional Neural Networks
    • Recurrent Neural Networks
    • Data representation of images and sound
    • Deploying networks into production.

    At the end of the workshop you will be able to:

    • Train a neural network to recognise images
    • Implement neural network papers
    • Develop your own neural network architectures for your problem
    • Apply machine learning workflows to deep learning.

    About the presenter

    Patrick Robotham is a Data Scientist working for Eliiza. He regularly develops machine learning models for clients to solve business problems. He has 5 years of professional data science experience and works with RMIT Online as a mentor teaching Introductory AI courses.

    Requirements

    • Basic knowledge of Python will be assumed. We expect you to know how to write basic Python functions.
    • You will need to bring your own laptop (with administrative rights) to the workshops.

    Venue

    Eliiza, Level 2, 452 Flinders Street, Melbourne

    Fees


    Full day (both workshops)
    Half-day (1 workshop)
    Student member  $99 $65
     Member $199 $135 

     Non-member

    $299  $200 

    Member prices are available to SSA members or employees and special guests of the Mantel Group.  Lunch will be provided for all participants.

    Cancellation policy

    Cancellations received prior to 11 Nov 2019 will be refunded, minus a $20 administration fee. From 11 Nov 2019 onwards, no part of the registration fee will be refunded.

    • 19 Nov 2019
    • 9:00 AM - 5:00 PM
    • Room 253, Arts West - North Wing, University of Melbourne
    Register

    R is an interactive environment for data analysis and statistical modelling. Join us for two insightful workshops on R skills hosted by SSA Vic and Melbourne Integrative Genomics (MIG).

    When performing data analyses, you typically need to share your insights with others. In our morning workshop, you will learn how to put your R code together into a 'package', which makes it easier to use and very easy to share. Then in our afternoon workshop, you will learn how to share and communicate the results of your analyses with others (and your future self!) using R Markdown.

    Building R packages

    Morning workshop (9am to 12:30pm), presented by Damjan Vukcevic

    You have developed a new statistical method. Now it is time to share it with the world.

    The methods that actually get used in practice are those with readily available and user-friendly implementations. Writing and disseminating software is therefore a key skill for modern statisticians, one that is generally not taught widely. This course aims to fill the gap.

    The R software environment is widely used for statistical analyses. One of its distinguishing features is the extensive range of R ‘packages’, which anyone can write and share via the internet. This used to be an intimidating process but modern tools have made it simple.

    We begin our course with how to write a very basic package, and then show how to include documentation, examples and data. Further topics include: an efficient development workflow, managing relationships between packages, sharing your packages with others, and easy ways to manage packages (finding, installing, upgrading).

    R Markdown

    Afternoon workshop (1:30pm to 5pm), presented by Emi Tanaka

    No matter how great your analysis, there is great benefit from streamlining your analysis to produce reproducible reports that can be easily disseminated. R Markdown can easily intermingle code and text to generate captivating, dynamic reports and presentations.

    The workshop will include in-depth explanation of the three main components of R Markdown: YAML, code chunks and text. These will be followed by hands-on exercises for you to dive straight into practising. You will learn how to: customise your documents with different output formats (e.g. Word, PDF or HTML); modify tables and figures; generate parametrised reports; make your document writing efficient and make beautiful slides with interactive components well-suited for data-storytelling or showcasing how your R package works.

    About the presenters

    Damjan Vukcevic is a Senior Lecturer in Statistical Genomics at the University of Melbourne, and the President of SSA Vic. R is his tool of choice for his work. He teaches introductory R to hundreds of statistics students every year, and has delivered the Building R packages workshop multiple times around Australia.

    Emi Tanaka is a Lecturer in Statistics at the University of Sydney, soon to join Monash University, and the Secretary of SSA NSW. She is an experienced and enthusiastic R user and instructor. She teaches R regularly to university students and has taught several R workshops including on Tidyverse, Blogdown, Shiny and R Markdown.

    Requirements

    • Basic knowledge of R will be assumed. We expect you to have used R to load data, create simple visualisations, perform basic analyses and write simple functions.
    • (R Markdown workshop only) Basic knowledge of LaTeX is desirable, but not essential.
    • You will need to bring your own laptop (with administrative rights) to the workshops.

    Venue

    Room 253, Arts West - North Wing, University of Melbourne

    Fees


    Full day (both workshops)
    Half-day (1 workshop)
    Student member  $99 $65
     Member $199 $135 

     Non-member

    $299  $200 

    Member prices are available to SSA members or staff and students of the University of Melbourne or an affiliate institution.  Lunch will be provided for all participants.

    Cancellation policy

    Cancellations received prior to 11 Nov 2019 will be refunded, minus a $20 administration fee. From 11 Nov 2019 onwards, no part of the registration fee will be refunded.

    • 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.

    • 21 Nov 2019
    • 25 Nov 2019
    • Melbourne
    With major support from the Melbourne Academic Centre for Health (MACH) and co-sponsorship from Monash Partners and ACTA, ViCBiostat are conducting 3 days of workshops to assist policy makers, clinician researchers, early career researchers and biostatisticians understand the options and merits of various pragmatic randomised designs to evaluate the impact of health policy and practice change interventions. For more information please follow this link: http://www.vicbiostat.org.au/documents/new-workshop-announced-save-date


    • 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/

    • 3 Dec 2019
    • 5:00 PM (UTC+10:00)
    • South Bank

    Details to be confirmed, but get this Xmas party in your diary now.

    • 6 Dec 2019

    SAVE THE DATE

    6pm Friday 6th December

    This year's Cornish Lecture will be given by Marti Anderson (Massey University) so make sure you add this to your diary. More details to follow.


    • 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

    • 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
    • Darwin, Australia

    The inaugural

    Joint Southern Statistical Meetings 2022

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

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

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

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

    See you in Darwin in 2022! 

    • 6 Jul 2022
    • 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

9 Oct 2019 SSA NSW Young Statisticians & Data Scientist Careers Networking
8 Oct 2019 WA Branch: Displaying Uncertainty and Risk - Dr John Henstridge
3 Oct 2019 Randomization, Bootstrap and Monte Carlo Methods in Biology - external event
1 Oct 2019 SSA-Event: YSC2019 Dinner - Kingston Hotel
1 Oct 2019 Queensland branch meeting: Automated Technologies for Systematic Review & Meta-Analysis
1 Oct 2019 SSA-Event: Young Statisticians Conference 2019
30 Sep 2019 CPD102 - SSA Canberra/YSC Event: Pre-Conference Trivia Night!
30 Sep 2019 CPD101- Mediation Analysis Using Potential Outcome Framework
30 Sep 2019 CPD103 - Maximising the use of Australian Bureau of Statistics Data Products and Analysis Tools
30 Sep 2019 CPD98- Communicating with R Markdown
26 Sep 2019 SA Branch Meeting: Peter Kasprzak
24 Sep 2019 Vic Branch – Young Statisticians Showcase 2019
24 Sep 2019 NSW Branch: A notion of depth for curve data by Dr Pierre Lafaye de Micheaux
23 Sep 2019 CPD106- Advanced R skills: Introduction to Shiny and Building R Packages
17 Sep 2019 SSA Webinar with Noel Cressie: Inference for Spatio-Temporal Changes of Arctic Sea Ice.
10 Sep 2019 WA Branch Meeting - Matt Schneider
5 Sep 2019 Applied Statistics and Policy Analysis Conference, 2019 - external event
3 Sep 2019 Queensland Branch meeting: Shiny showcase
28 Aug 2019 SA Branch Meeting - Dr Kathy Haskard
27 Aug 2019 Vic Branch – Detecting botnet activity using machine learning
20 Aug 2019 Talk on the QUT Digital Observatory
19 Aug 2019 Oceania Stata Conference - external event
18 Aug 2019 ISI 2019 – 62nd ISI World Statistics Congress - external event
13 Aug 2019 WA Branch Meeting - Joint IBS and SSA - Suman Rakshit
7 Aug 2019 SA Young Statisticians' Career Event
7 Aug 2019 2019 International Conference and Workshops on Survey Research Methodology - external event
6 Aug 2019 NSW Branch: Gender and Cultural Bias In Student Evaluations of Teaching at Universities by A/Prof Yanan Fan
24 Jul 2019 SA Branch Meeting - Dr Murthy N Mittinty
24 Jul 2019 The Research School on Statistics and Data Science 2019 (RSSDS2019) - external event
18 Jul 2019 Vic Branch - Tutorial on sequential Monte Carlo methods in statistics
18 Jul 2019 Minitab Insights Event Australia - external event
17 Jul 2019 Statistical Tools for the Pharmaceutical Industry - external event
9 Jul 2019 (Cancelled) WA Branch Meeting
9 Jul 2019 SSA-QLD Career Seminar: Lead With Statistics
7 Jul 2019 34th International Workshop on Statistical Modelling (IWSM2019) - external event
4 Jul 2019 Gaining skills in biostatistical consultancy- CPD94
3 Jul 2019 R skills workshops: R Markdown and Building R packages
2 Jul 2019 Tutorial on Sequential Monte Carlo methods in Statistics
1 Jul 2019 Computational and Applied Statistics (CAS 2019) - external event
30 Jun 2019 42nd Mathematics Education Research Group of Australasia (MERGA) Conference 2019 - external event
28 Jun 2019 Semiparametric regression with R - CPD99
26 Jun 2019 SA Meetup event: What went wrong with the polls? Do statisticians have a role to play?
25 Jun 2019 Vic Branch - Mentoring Breakfast
19 Jun 2019 Systematic reviews & meta-analysis of prognosis studies
11 Jun 2019 WA Branch Meeting - Dr Adriano Polpo - Hypothesis Tests: Using Adaptive Significance Levels for Decisions
11 Jun 2019 Data science helping to create a better justice system - an ACEMS Public Lecture at UTS
29 May 2019 SA Branch Meeting - Dr Beben Benyamin & Dr Ang Zhou
28 May 2019 Vic Branch – A recipe for quantifying the impact of prevention
28 May 2019 ICORS-LACSC 2019 - external event
16 May 2019 Fast algorithms and modern visualisations for feature selection - CPD96
14 May 2019 WA Branch Meeting - Young Statisticians Meeting
7 May 2019 QLD branch - Multimorbidity: Measurement for Health related Quality of Life and Health service use
7 May 2019 Chief Data & Analytics Officer Exchange - external event
4 May 2019 Data Day- Melbourne - external event
2 May 2019 Data Day- Sydney - external event
30 Apr 2019 Vic Branch – Reproducibility and Open Science
29 Apr 2019 Spatio-Temporal Statistics with R
17 Apr 2019 SA Branch Meeting - Professor Michael Sorich
9 Apr 2019 WA Branch Meeting - Prof Inge Koch
2 Apr 2019 QUEENSLAND ORDINARY BRANCH MEETING
2 Apr 2019 QUEENSLAND AGM
27 Mar 2019 SOUTH AUSTRALIA AGM
19 Mar 2019 Vic Branch – AGM + Statistics with industry: demonstrating impact
11 Dec 2018 Queensland Xmas Party
26 Sep 2018 Young Statisticians’ Workshop 2018
25 Sep 2018 Urban Modelling and Understanding with Machine Learning
11 Sep 2018 Young Statistician Careers Seminar
5 Sep 2018 Workshop: Semiparametric Regression with R with Matt Wand
28 Aug 2018 SSA Biostatistics Networking Event
26 Aug 2018 International Society for Clinical Biostatistics and Australian Statistical Conference 2018
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