SessionBayesian modeling of chronic & infectious diseases: Reverend Bayes going anti-viral
co-Organizers:Dani Gamerman, UFMG, Belo Horizonte, Brazil & Maia Lesosky, Cape Town, South Africa
Invited Speakers:Paula Moraga-Serrano, Bath, UK – Bayesian Geospatial Models for Tropical Disease Mapping
Jony Arrais Pinto Jr, Rio de Janeiro, Brazil – Point pattern analysis of cerebrovascular deaths in Rio de Janeiro with spatially varying covariate effects
Alexandra Schmidt, Montreal (McGill), Canada – A spatio-temporal model to understand the first simultaneous epidemic  of dengue, Zika, and chikungunya in Rio de Janeiro, Brazil
SessionCan Cox model survive in the 21st century survival analysis?
Organizer:Maja Pohar Perme, Ljubljana, Slovenia
Invited Speakers:Per Kragh Andersen, Copenhagen, Denmark – 50 years with the Cox model – 80 more to come?
Richard J. Cook, Waterloo, Canada – Some challenges and approaches to causal inference with life history processes
Bianca de Stavola, Un. College London, UK – The Cox model in a world of target trial emulations
SessionCan Ying dance with Yang?: Combining evidence from RCT’s and Pharmaco-epidemiology population-based studies of drug effects
Organizer:Jessica Franklin, Harvard, US
Invited Speakers:Sara Lodi, Boston (BU), US – A three-step approach to compare randomized trials and observational studies
Jonathan Sterne, Bristol, UK – How risk of bias assessments can inform comparisons between RCTs and observational studies
Shirley Wang, Boston (Harvard), US – Unambiguously reported and replicable real-world evidence to support decision-making
SessionEfficient Designs & cutting-edge analyses
co-Organizers:Mitchell H. Gail, NIH/NCI, US & Sven Ove Samuelsen, Oslo, Norway
Invited Speakers:Ruth Keogh, London (LSHTM), UK – Making efficient use of large observational data through case-control sampling and auxiliary data
Sven Ove Samuelsen, Oslo, Norway – Use of auxiliary data for efficient analysis of two-phase survival studies
Pamela Shaw, Philadelphia, US – Methods to address correlated covariate and time-to-event error in electronic health records
SessionNew Frontiers: Big Data & Functional Data Analysis
co-Organizers:Yingying Fan, Los Angeles (USC), US
Invited Speakers:Timothy Cannings, Edinburg, UK – Classification with imperfect training labels
Yingying Fan, Los Angeles (USC), US – An Empirical Bayes Solution for Selection Bias in Functional Data
James Ramsay, Ottawa, Canada – Statistics on curved manifolds: The next frontier
SessionNew developments in Longitudinal data analysis
Organizer:Andrzej Galecki, Michigan, US
Invited Speakers:Helene Jacqmin-Gadda, Bordeaux, France – Challenges in longitudinal analysis of cognitive aging
Tomasz Burzykowski, Hasselt, Belgium – Design of longitudinal trials
Jeremy Taylor, U Michigan, Ann Arbor, US – Joint modeling of longitudinal and survival data
SessionProgress in providing analytic guidance for observational studies: the STRATOS initiative
co-Organizers:Laurence Freedman, Jerusalem, Israel & Willi Sauerbrei, Freiburg, Germany
Invited Speakers:Saskia Le Cessie, Leiden University, the Netherlands – Bridging the gap between causal inference and survival analysis: a censored edition
Georg Heinze, Vienna, Austria & Marianne Huebner, Michigan State, US – Regression without regrets: data screening is needed before modeling
Jörg Rahnenführer, Technische Universität Dortmund, Germany – Statistical and machine learning techniques: Which help in patient care and medical research?
SessionTackling the challenges of imperfections in longitudinal and survival data: missingness, measurement error and irregular sampling
co-Organizers:Laurence Freedman, Jerusalem, Israel & Ruth Keogh, London (LSHTM), UK
Invited Speakers:Eleni-Rosalina Andrinopoulou, Rotterdam (Erasmus MC), the Netherlands – Challenges and opportunities of combined analysis of multiple outcomes in longitudinal studies
Havi Murad, Jerusalem, Israel – Missing time-dependent covariate values for the Cox model – multiple imputation versus joint models approach
Shaun Seaman, Cambridge (MRC Biostatistics Unit), UK – Structural nested cumulative survival time models to adjust for time-dependent confounding
SessionBiostatistical inference in practice: moving beyond false dichotomies
co-Organizers:John Carlin, Melbourne, Australia & Jonathan Sterne, Bristol, UK
Invited Speakers:Colin Begg, New York, US – Reflections on the strengths and weaknesses of significance testing
John Carlin, Melbourne, Australia – Towards a more scientific, less dichotomous approach to the analysis and reporting of clinical trials
Laure Wynants, Maastricht, Belgium – Dichotomania and other challenges for the collaborating biostatistician: a perspective on principles, responsibilities and potential solutions
SessionCausal Inference vs. Unmeasured Confounding: Let’s face the Dragon
Organizer:Eric Tchetgen Tchetgen, Philladelphia, US
Invited Speakers:Vanessa Didelez, Leibniz Institute, Bremen, Germany – On the (In)Validity of Multiple Instruments for Mendelian Randomisation Studies
Torben Martinussen, Copenhagen, Denmark – Competing risk data and unmeasured confounding
Qingyuan Zhao, Cambridge, UK – Using sparsity to overcome unmeasured confounding
SessionIndividualized Risk Prediction & Omics
co-Organizers:Krista Fischer, Tartu, Estonia & A.H. Zwinderman, Amsterdam, the Netherlands
Invited Speakers:Zoltan Kutalik, Lausanne, Switzerland – Transcriptome-wide Mendelian Randomisation to reveal causal disease biomarkers
Mark van de Wiel, Free Un., Amsterdam, the Netherlands – Learning from a lot: Empirical Bayes for high-dimensional model-based prediction
Kristel Van Steen, Liège, Belgium – Precision Medicine at the Interface of Translational Science & Systems Medicine
SessionWhen non-inferiority trials are superior?
co-Organizers:Lisa Hampson, Basel (Novartis), Switzerland & Toshiro Tango, Tokyo, Japan
Invited Speakers:Andrew Copas, London (MRC), UK – Non-inferiority trials to directly inform treatment recommendations
Eisuke Hida, Osaka, Japan – Can we evaluate assay sensitivity in a non-inferiority trial?
Mimi Kim, New York (Albert Einstein College), US – Subgroup analyses in non-inferiority trials