Events listing - SSA events

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Upcoming events

    • 28 May 2019
    • 31 May 2019
    • Guayaquil, Ecuador

    ESPOL Polytechnic University is proud to host ICORS-LACSC 2019 on May 28-31, 2019. This year, the International Conference on Robust Statistics (ICORS) and the Latin American Conference on Statistical Computing (LACSC) will be jointly organized in Guayaquil, Ecuador. The 2nd LARS-IASC School on Computational Statistics and Data Science will be a satellite event on May 26-27, 2019.

    • 28 May 2019
    • 6:00 PM - 7:00 PM
    • Theatre 1, Level B1, 207-221 Bouverie St, Carlton VIC 3053
    6pm – Talk
    7:15pm - Social function at the Prince Alfred Rooftop & Bar

    A recipe for quantifying the impact of prevention: mix epidemiology, economics, big data, statistics and simulation, then serve with league tables

    This talk will focus on simulating the impact of public health interventions (e.g. sugar taxes, screening programmes) onto future health gain (e.g. health-adjusted life years) and cost impacts. In particular:

    a) The rationale for WHY to do it.

    b) HOW to do it, including multistate lifetable methods and the data inputs and outputs.

    c) DISSEMINATING it with the Australia NZ Health Interventions League Table (ANZ-HILT) – a world first online tool for end-users.

    Professor Tony Blakely is an epidemiologist and public health medicine specialist - who also strays into economics and big data. Since completing his PhD in 2001, he has focusing on answer public health research questions requiring the innovative application of methods from many disciplines. In his time at the University of Otago NZ (1998 to 2019) he pioneered the linkage of census and mortality data, and led research programmes on health inequalities and quantifying intervention health impacts. In 2019 he took up a full-time position at the University of Melbourne, to establish the Population Interventions Unit with the aim to:
    "provide robust evidence on the health and cost impacts of population interventions, through causal inference and simulation approaches from epidemiology, economics and data science."

    Following the talk there will be a social function at the Prince Alfred Rooftop and Bar. This event is open to all attendees - SSA members will receive a free drink, nibbles will be available for all attendees. If you wish to sign up to the SSA on the night, forms will be available.
    • 29 May 2019
    • 5:30 PM - 7:00 PM (UTC+09:30)
    • Engineering & Math EM213, North Terrace, The University of Adelaide

    Branch Meeting - Wednesday, 29th May 2019

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

    Venue: Engineering and Math Science Building, Room EM213, North Terrace, The University of Adelaide. A campus map is available at

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


    5:30pm - Refreshments in the Lecture Theatre

    6:05pm - General Meeting Talk

    7:30pm - A dinner will be held after the meeting at Jasmine Restaurant, 31 Hindmarsh Square, Adelaide SA 5000. Please RSVP for dinner to by 27th May as we are usually unable to change the booking numbers at the last minute.

    Speaker 1: Dr Beben Benyamin

    Topic: Causal inference in epidemiology through Mendelian randomisation


    Epidemiological studies have shown that a number of risk factors, such as blood biochemical markers or lifestyle, are associated with disease. However, we don’t know whether these associations are causal or due to confounding factors. To infer the causality of these associations, a randomised controlled trial (RCT) is the gold standard. However, for many reasons, an RCT is not feasible, ethical or cost effective. A statistical method called Mendelian Randomization (MR) has been suggested to mediate between the epidemiological association and RCT. MR provides a framework that mimics an RCT to provide an estimate of the causal effect of risk factor on disease. This approach exploits the fact that the assignment of genotype is random with respect to confounders. Individuals can, therefore, be randomly “assigned” into two different alleles, equivalent to the assignment of individuals into placebo and intervention in an RCT design. In this talk, I will discuss the origin of the method, basic principles and some applications to infer the causal effect of risk factors on disease.


    Dr Beben Benyamin is Senior Lecturer in Biostatistics at the Australian Centre for Precision Health, School of Health Sciences, University of South Australia. He is also a Senior Research Fellow at the South Australian Health and Medical Research Institute and an Honorary Senior Fellow at Institute for Molecular Bioscience, the University of Queensland. He uses statistics applied to large-scale ‘omics’ data to dissect the genetic mechanisms underlying human complex traits and diseases. He graduated from Bogor Agricultural University (IPB) Indonesia (2000), University of Sydney, Australia (2002) and University of Edinburgh, UK (2007) under the supervision of Prof Peter Visscher FRS. He did his postdoctoral training at the Genetic Epidemiology Group, QIMR Berghofer Medical Research Institute (2007-2011). Prior joining University of South Australia, he worked as Research Fellow at the Program in Complex Trait Genomics, the University of Queensland (2012-2017). Some of his research has been published in Nature, Nature Genetics and Nature Communications. His current interests are on the application of statistical genomic methods to neurodegenerative diseases, especially motor neuron disease and on trans-ethnic genomic analyses to dissect the transferability of genomic findings in European samples on other populations, such as Asians.

    Speaker 2: Dr Ang Zhou

    Topic: MR-PheWAS: Opportunities and challenges


    The phenome-wide association study (PheWAS) is a hypothesis-free approach to screen for diseases/phenotypes associated with the risk factor of interest. When coupled with Mendelian randomization analyses (MR) in which genetic variants are used as proxy markers for the risk factor of interest, MR-PheWAS has the potential to uncover the totality of health consequences linked to the risk factor. Because of its hypothesis-free nature, MR-PheWAS also has the capacity to capture novel associations for which no prior evidence is available, providing insights to disease mechanisms. In my talk, I will use BMI MR-PheWAS as an example to highlight the opportunities and challenges with the MR-PheWAS technique


    Dr Ang Zhou training in medical sciences (Ph.D.) and Biostatistics (M.A.). He is working as a research associate in the nutritional and genetic epidemiology group at the Australian Centre for Precision Health. Ang applies methodologies in genetic epidemiology to understand causal associations between modifiable lifestyle factors and health outcomes related to cognitive and cardiometabolic functions. His research also involves understanding gene-environment interplay on health outcomes.

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

    • 11 Jun 2019
    • 5:30 PM
    • University of Technology Sydney, CB07.02.025*, 67 Thomas St, Broadway NSW (*Lecture theatre at lower level of Vicki Sara Science Building)

    The NSW Bureau of Crime Statistics and Research (BOCSAR) uses modern data science tools to maintain a rich and dynamic database that captures information on each person who has been convicted of a criminal offence in NSW since 1994. Statistical modelling can then be applied to extract actionable information that informs policy evaluation and effective criminal justice decision-making.

    In a recent project, for example, recidivism rates were compared for offenders who received an intensive correction order versus those given short prison sentences. With careful modelling to properly account for the nature of the crime, the analysis can be used to evaluate the effectiveness of intensive correction orders in reducing recidivism rates.

    You are invited to attend this ACEMS Public Lecture by Dr Joanna Wang and Dr Suzanne Poynton. A reception will be held for an hour before the presentation. This talk is targeted at a general audience, including high school students. No statistical knowledge is required but bring your "thinking cap". There will be ample time for questions after the lecture. Please register your interest here via the Eventbrite.


    Dr Joanna Wang is a research statistician at BOCSAR. After finishing her PhD in Statistics at Sydney University, Joanna did a postdoctoral fellowship at UTS and the Sax Institute. She has also worked as lecturer in Statistics at UNSW. Her research interests include time series modelling in observational studies, econometric models for survey data and statistical methods for evaluating policy programs.

    Dr Suzanne Poynton is the Acting Director and Research Manager at BOSCAR and an Adjunct Senior Lecturer at UNSW Law. She has completed a Masters (Forensic) Psychology and a PhD in Social Science and Policy. Suzanne has more than 50 publications on a wide range of crime and criminal justice issues. She is interested in the use of quantitative methodologies to evaluate policy and program delivery. 

    • 11 Jun 2019
    • 5:30 PM - 7:00 PM (UTC+08:00)
    • Perth

    Details and date to be confirmed.

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

    • 28 Jun 2019
    • 9:00 AM - 5:00 PM
    • University of Sydney, Camperdown, NSW

    About this workshop
    Semiparametric regression methods build on parametric regression models by allowing more flexible relationships between the predictors and the response variables. Examples of semiparametric regression include generalized additive models, additive mixed models and spatial smoothing. The presenter's goal is to provide an easy-to-follow applied course on semiparametric regression methods using R. There is a vast literature on the semiparametric regression methods. However, most of it is geared towards researchers with advanced knowledge of statistical methods. This course is intended for applied statistical analysts who have some familiarity with R.

    This short course explains the techniques and benefits of semiparametric regression in a concise and modular fashion. Spline functions, linear mixed models and Bayesian hierarchical models are shown to play an important role in semiparametric regression. There will be a strong emphasis on implementation in R and rstan with most of the course spent doing computing exercises.

    The workshop is based on the in-press book “Semiparametric Regression with R” by J. Harezlak, D. Ruppert and M.P. Wand (Springer, 2018), with website, and has the companion methodology and theory book “Semiparametric Regression” by D. Ruppert, M.P. Wand and R.J. Carroll (Cambridge University Press, 2003), with website .

    About the presenter
    Matt P. Wand is a Distinguished Professor of Statistics at the University of Technology Sydney. He has held faculty appointments at Harvard University, Rice University, Texas A&M University, the University of New South Wales and the University of Wollongong. Professor Wand is an elected fellow of the Australian Academy of Science, the American Statistical Association and the Institute of Mathematical Statistics. He was awarded two of the Australian Academy of Science's medals for statistical research: the Moran Medal in 1997 and the Hannan Medal in 2013. In 2014 he was awarded the Statistical Society of Australia's Pitman Medal. He has served as an associate editor for several journals including Biometrika, Journal of the American Statistical Association and Statistica Sinica. He has co-authored 3 books, more than 100 journal articles and 6 R packages on semiparametric regression and related areas.

    Further details about Professor Wand’s research, and every paper he has written, are on the website

    Target Audience
    Most of the course will be geared towards researchers with intermediate to advanced knowledge of statistical, particularly regression methods.

    Learning Objectives

    1. Introduction to semiparametric regression at the applied level
    2. Implementation of the presented methods in R and rstan
    3. Application of the newly learned methods to a variety of datasets

    Early Bird - Payment before 1 June 2019
    Early Bird SSA member $150
    Early Bird SSA non-member $390
    Early Bird SSA student member $100*
    Early Bird SSA non-member student $130*

    Payment from 1 June 2019
    SSA member $200
    SSA non-member $440
    SSA student member $150*
    SSA non-member student $180*
    Membership with SSA is available for full-time students for only $20 (12 months)

    Registrations close on Thursday, 20 June 2019. The workshop fees include morning tea and lunch.

    Workshop Venue
    The workshop will be held at the University of Sydney (Camperdown NSW). 

    Workshop delegates will need to bring their own laptop. About three weeks before the workshop they will receive instructions on which software to install prior to the event.

    Accommodation options
    There are a number of accommodation options within 10 minutes of walking distance at Camperdown.  Two examples are:
    Adina Apartment Hotel Sydney Chippendale, 74-80 Ivy St, Chippendale
    Quality Apartments Camperdown, 23-33 Missenden Rd, Camperdown

    More options can be found by entering "Carlslaw Building, University of Sydney" into a search on Google Maps and clicking on  "Nearby"  and then "Hotels nearby".

    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 Thursday, 20 June 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 

    • 30 Jun 2019
    • 4 Jul 2019
    • Perth, Australia

    The Mathematics Education Research Group of Australasia provides an inclusive and cosmopolitan Conference for mathematics educators and academics involved in mathematics education. For more information please click here

    • 1 Jul 2019
    • 4 Jul 2019
    • Saint Petersburg, Russia

    Computational and Applied Statistics 2019 (CAS) is a workshop organised as part of the International Conference on Computational Science and its Applications - ICCSA 2019.

    • 2 Jul 2019
    • 4:30 PM - 6:30 PM
    • room S301 (S Block Level 3) at Gardens Point Campus at QUT

    Speaker: Dr Anthony Lee, University of Bristol

    I will introduce Sequential Monte Carlo (SMC) methodology from a Statistics perspective. This particle-based algorithm was initially proposed to approximate predictive and filtering distributions for general state-space hidden Markov models, and in this context it is also known as a Particle Filter. SMC is now used to approximate a variety of intractable integrals arising in Statistics, e.g. intractable likelihoods in latent variable models and expectations with respect to high-dimensional, complex posteriors. I will cover the basic algorithm and its properties, as well as some innovations that have improved its performance and extended its impact. No previous knowledge of SMC is required.


    I am a Computational Statistician in the School of Mathematics at the University of Bristol, and Director of the Data Science at Scale Programme at the Alan Turing Institute, with Intel as Strategic Partner. My research is primarily in the area of stochastic algorithms for approximating intractable quantities that arise in data analysis. Examples of such algorithms are Markov chain and Sequential Monte Carlo. I work on both theory and methodology: research in this area is interdisciplinary, bringing together advances in applied probability, algorithms, and statistics. I am often interested in algorithms that scale well in parallel and distributed computing environments, and in computational and statistical trade-offs when conducting inference.

    • 4 Jul 2019
    • 9:30 AM - 5:00 PM
    • Murdoch Children's Research Institute (MCRI), Melbourne
    • 0
    Join waitlist

    Unfortunately registration for this event is full. We encourage you to register your interest by joining the waitlist (see left) and we will be in contact if we receive cancellations. Thank you for your interest.

    The Biostatistics and Bioinformatics Section of SSA is pleased to offer the following workshop, co-hosted by the Clinical Epidemiology & Biostatistics Unit (CEBU) at the MCRI (Melbourne Children’s campus):

    Gaining skills in biostatistical consultancy

    This full day workshop is designed to provide participants with an understanding of some of the key skills involved in biostatistical consultancy, covering a range of topics including communication skills, how to reach and interact with different clients, how to manage consultancy projects from start to finish and how to secure funding. The course will feature presentations from statisticians experienced in biostatistical consultancy, as well as an interactive panel session to allow participants to pick the brains of our experts!

    Presenter Biography

    Professor Julie Simpson
    is Head of the Biostatistics Unit at the Melbourne School of Population and Global Health and leader of the Biostatistics node of the Melbourne Clinical and Translational Science platform, University of Melbourne. She has 25 years’ experience collaborating with clinicians, basic scientists, epidemiologists and health policy-makers at universities and hospitals (and even refugee camps) based in Australia, Thailand, Vietnam and the United Kingdom.

    Dr Emily Karahalios is a Senior Research Fellow based in the Biostatistics Units within the School of Public Health and Preventive Medicine, Monash University; and the Melbourne School of Population and Global Health, The University of Melbourne. Emily previously held the position of Clinical Biostatistician at Western Health, where she provided biostatistical support to staff and students at Sunshine and Footscray Hospitals.

    A/Prof Susan Donath is a Senior Biostatistician and Epidemiologist and Deputy Director of the Clinical Epidemiology and Biostatistics Unit, Murdoch Children’s Research Institute. She has been a senior consulting statistician at the MCRI since 2003 and through this role has developed expertise in supporting all aspects of research design, protocol development, statistical analysis and reporting results.

    Dr Emi Tanaka is a lecturer in statistics at The University of Sydney working in the interface of genetics, statistics and computing. Her PhD work focused on statistical bioinformatics (in particular, with methods in DNA motif evaluation) but post-PhD, she provided specialist statistical inputs to various plant improvement programs as part of Statistics for the Australian Grains Industry project.

    Target Audience

    Statisticians who provide statistical advice, analysis, and training to non-statisticians. This workshop will be of greatest interest to recent graduates and early career researchers who are keen to develop their skills in this area.

    Course Outline

    1. Involvement in statistical consultancy from start to finish (lifecycle), communication skills, including intercultural communication, and written reporting or oral presentation to non-statisticians
    2. Effectively planning, organising and monitoring progress of a project, including time management and prioritisation
    3. How to reach clients, secure funding and build a team
    4. Interacting with different clients (including difficult clients), dealing with isolation and building a network
    5. Interactive panel session

    Payment before 1 May 2019 (Early Bird)
    CEBU staff $80
    SSA members $100
    SSA non-members $120
    SSA member students $80*
    SSA non-member students $100*

    Payment from 1 May 2019
    CEBU staff $80
    SSA members $120
    SSA non-members  $140
    SSA student members $100*
    SSA non-member students $120*

    Student membership with SSA is available to full-time students for $20 for 12 months. For more information please click here.

    Registrations close on Friday, 21 June 2019.

    Learning Objectives

    To introduce the skillset needed to be an effective biostatistical collaborator focusing on skills such as meetings, interactions, time management, written and oral communication, and ethics.


    Cox/Walford Room (Room WL5.2.03), Murdoch Children’s Research Institute, Royal Children’s Hospital, Flemington Road, Parkville, Melbourne, VIC, 3052

    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 Thursday, 27 June 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

    • 7 Jul 2019
    • 12 Jul 2019
    • Guimarães, Portugal

    The 34th International Workshop on Statistical Modelling (IWSM) will be held in Guimarães 7-12 July 2019. IWSM is one of the major activities of the Statistical Modelling Society, founded with the purpose of promoting and encouraging statistical modelling in its widest sense. The workshop aims to involve both academic and professional statisticians and data analysts with a particular focus on real data problems which involve an element of novel statistical modelling, or novel model application.

    • 24 Jul 2019
    • 26 Jul 2019
    • La Trobe University, Melbourne

    Data has become the new oil of the 21st century. The collection, examination and modelling of today's data has become a valuable and much sought after skillset for businesses and large enterprises seeking the next generation of data science professionals.
    Currently one of the top paid technology jobs, data science is at the heart of many of the top Fortune 500 companies including Google, Facebook, Netflix and Tesla. The potential for impact in the new data driven world is limitless.
    The Research School on Statistics and Data Science 2019 (RSSDS2019) provides a series of workshops and papers delivered by experienced academic and industry members on the cutting edge statistics and data science applications and theory.
    Aside from being considered among the most desirable jobs of the 21st century, the real world value of data science and skilled data scientists cannot be understated. The most successful data science professionals are those who can hone the power of statistics, programming, domain knowledge and data visualisation.
    For more information, please click here.

    • 7 Aug 2019
    • 9 Aug 2019
    • Taipei, Taiwan

    The Center for Survey Research(CSR) of Academia Sinica in Taiwan will hold an international conference on survey research methodology on 8 August and the morning of 9 August 2019. In addition, CSR will offer a four-hour workshop on Total Survey Error as a framework for high quality survey design on the afternoon of August 7. A second four-hour workshop on weighting for various types of survey data, such as panels, dual frames etc., takes place on the afternoon of August 9.

    • 18 Aug 2019
    • 23 Aug 2019
    • Kuala Lumpur, Malaysia

    The 62nd ISI WSC 2019 will bring together about 2,500 delegates, comprises statistical researchers, academia, industry practitioners, analysts and policymakers, from all over the world to share insights on development in statistical science and to advance application of statistics for discovery, innovation and decision making. About 1,300 papers in various statistical disciplines and applications will be presented and discussed over a period of five days. In addition to the Scientific Programme, satellite seminars, meetings and short courses will be organised as the pre- and post-congress events.

    • 19 Aug 2019
    • 20 Aug 2019
    • Sydney

    The Oceania Stata Conference is the premier Stata conference in the Oceania region and will provide Stata users from across Oceania and the world the opportunity to exchange ideas, experiences, and information on new applications of the software. This is the opportunity to meet leading Stata users and learn how they create reproducible research with Stata. The 2019 Oceania Stata Conference will be held at the Park Royal Parramatta 20 August 2019 with optional workshops (panel data and social statistics) on 19 August 2019.

    The registration is now open to all levels of Stata users. For more information please click here.

    • 5 Sep 2019
    • 6 Sep 2019
    • Wagga Wagga, NSW

    Applied statistics and data science play a vital role in the analysis and evaluation of policies in various fields including social sciences, economics, health sciences, population studies etc. On the other hand, with society apparently expecting more and more from all three levels of government; it becomes increasingly important that both private and public policy should be based on reliable and up-to-date data that covers the important issues. This conference aims to promote research collaborations and exchange ideas between data scientists, applied statisticians and data modellers who will detail the latest innovations in research to gather and disseminate information from small to big data settings, and from policy analysts who will describe how they use existing information from increasing big data environments and indicate areas in which there need to be methodological and technological developments. Another aim is to establish connections between researchers at tertiary institutions and working in industry in Australia and overseas. This conference is organised by the Data Science Research Unit (DSRU) within the School of Computing and Mathematics at Charles Sturt University (CSU).

    This conference is sponsored by the Australian Government’s Department of Infrastructure, Regional Development and Cities and the School of Computing and Mathematics and the Faculty of Business, Justice and Behavioural Sciences at CSU.

    For more information please click here

    • 1 Oct 2019
    • 8:30 AM
    • 2 Oct 2019
    • 5:00 PM
    • Canberra
    • 95

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

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

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

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

    Cancellation Policy
    Cancellations received prior to Tuesday, 24 September 2019 will be refunded, minus a $20 administration fee.
    From then on no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to

    YSC2019-Visualising the future

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

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

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

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

    Cancellation Policy
    Cancellations received prior to Tuesday, 24 September 2019 will be refunded, minus a $10 administration fee. From then on no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to

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

    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.


    No of Days

    1 Day

    2 Day

    SSA/APBG members






    SSA/APBG full-time student members*



    Non-member full-time students*



    Early Bird SSA/APBG members



    Early Bird non-members



    Early Bird SSA/APBG full-time student members*



    Early Bird non-member full-time students*



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

    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

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

    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.

    • 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.

    • 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!

    • 10 Jul 2022
    • 15 Jul 2022
    • Riga, Latvia

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

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