Invited Sessions

Analysis for highly complex data structures

Organiser: Aurore Delaigle – University of Melbourne

Stephan Huckeman – University of Göttingen, Germany

Janice Scealy – Australian National University, Canberra

Adrian Baddeley – Curtin University, Western Australia


Deep time-to-event analysis

Organiser: Nadine Binder – University of Freiburg, Germany

Per Kragh Andersen – Section of Biostatistics, University of Copenhagen, Denmark

Harald Binder – Institute for Medical Biometry and Statistics, University of Freiburg, Germany

Truyen Tran – Center for Pattern Recognition and Data Analytics, Deakin University Geelong, Australia

Recent developments and current challenges in statistical genomics

Organisers: Stephen Leslie – University of Melbourne, Damjan Vukcevic – University of Melbourne, David Balding – University of Melbourne 

Augustine Kong – Oxford University Big Data Institute

Melanie Bahlo – Walter and Eliza Hall Institute for Medical Research, Melbourne

Alexei Drummond – Professor of Computational Biology, University of Auckland

This session is supported by the School of Mathematics and Statistics of The University of Melbourne.

Recent developments in statistical precision medicine

Organiser: Bibhas Chakraborty – Duke-NUS Medical School, Singapore

Eric Laber – North Carolina State University, Raleigh, NC, USA

Susan Shortreed – Kaiser Permanente Washington Health Research Institute, Seattle, USA

Ashkan Ertefaie – University of Rochester, New York, USA

Robust Bayesian inference

Organiser: Chris Drovandi – Queensland University of Technology (& SSA Bayesian Statistics), Chris Holmes University of Oxford

Natalia Bochkina – University of Edinburgh, Scotland

Jeff Miller – Harvard University, Boston, USA

David Frazier – Monash University, Melbourne

Spatio-temporal statistics in the environmental sciences

Organiser: David Warton UNSW & SSA Environmental Statistics

Hsin-Cheng Huang – Academia Sinica, Taiwan

Yan Wang – RMIT University, Melbourne

Francis Hui – Australian National University

Statistical education - engaging future statisticians

Organiser: Peter Howley – SSA Statistical Education Section, Louise Ryan – University of Technology Sydney

Deborah Nolan – University of California, Berkeley

Chris Wild – University of Auckland, New Zealand

Peter Howley – University of Newcastle, Australia

Statistical learning methods for causal inference

Organiser: Margarita Moreno Betancur – Murdoch Children’s Research Institute & University of Melbourne

Stijn Vansteelandt – University of Ghent, Belgium

Marco Carone – University of Washington, Seattle, USA

Romain Neugebauer – Kaiser Permanente, California

This session is supported by the Victorian Centre for Biostatistics (ViCBiostat). 
Survey statistics

Organiser: Paul Schubert – Australian Bureau of Statistics & Stephen Horn, SSA Official Statistics Section

Natalie Shlomo – University of Manchester, UK, to deliver the E.K. Foreman Lecture

Second speaker to be confirmed. 

STRengthening Analytical Thinking for Observational Studies: Contributions of the STRATOS initiative to analyses of studies with measurement error and time-to-event data

Organisers: Michal Abrahamowicz – McGill University, Katherine Lee Murdoch Children’s Research Institute, Willi Sauerbrei – University of Freiburg, Germany

Michal Abrahamowicz – McGill University, Montreal, Canada

Terry Therneau – Mayo Clinic, Rochester, Minnesota, USA

Victor Kipnis – National Cancer Institute, Bethesda, Maryland, USA

Topical issues in cluster-randomised trials

Organiser: Andrew Forbes – Monash University, Melbourne

Karla Hemming, University of Birmingham, UK

Bruno Giraudeau, Université François Rabelais, Tours, France

Richard Hooper, Queen Mary University of London, UK



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