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SuSTaIn Events Time for Causality workshop Aims and Objectives Invited Speakers Programme (pdf) Abstracts (pdf) Participants (pdf) Slides for talks (protected) Photos

Invited Speakers

Prof Odd Aalen, Oslo Dynamic causal models
Prof Elja Arjas, Helsinki Why not simply apply stochastic process modeling and Bayesian predictive inference?
Dr Clive Bowsher, Bristol Stochastic Kinetic Processes: Biochemical Mechanisms,Information and Network Design
Prof Philip Dawid, Cambridge Applications of Dynamic Models in Monitoring and Fault Detection
Dr Roger Dixon, Loughborough A formal treatment of sequential ignorability
Dr Damien Ernst, Liège Learning for exploration-exploitation in reinforcement learning
Prof Erica Moodie, Montreal Q-learning for estimating optimal dynamic treatment rules from observational data
Prof Susan Murphy, Michigan Confidence Intervals, Q-Learning and Dynamic Treatment Regimes
Dr Susanne Rosthoj, Copenhagen Estimation of optimal dynamic treatments with irregular/missing visits using regret regressions
Prof Andrea Rotnitzky, Harvard Estimation and Extrapolation of Optimal Treatment Part 1
Prof James Robins, Harvard Estimation and Extrapolation of Optimal Treatment Part 2
Prof Jonathan Sterne, Bristol Causal inference for dynamic treatment regimens: how analyses of observational data changed international guidelines on when to start antiretroviral therapy
Dr James Taylor, Lancaster Control System Design: Feedback and Sequential Decision Making