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324 * ! Tue, 7/31/2012, 10:30 AM - 12:20 PM CC-Room 29C
Recent Developments in Causal Inference with Longitudinal Data — Topic Contributed Papers
Section on Statistics in Epidemiology , Biopharmaceutical Section , Biometrics Section , International Indian Statistical Association
Organizer(s): Jessica Gerald Young, Harvard School of Public Health
Chair(s): Jessica Gerald Young, Harvard School of Public Health
10:35 AM 'Loss-to-Follow-Up' in Observational Clinical Cohorts: Longitudinal Effect Estimation in the Presence of Informative Monitoring and Non-Monotone Missingess Maya Petersen, University of California at Berkeley School of Public Health
10:55 AM Partially Hidden Markov Model for Time-Varying Principal Stratification in HIV Prevention Trials James Dai, Fred Hutchinson Cancer Research Center ; Peter B Gilbert, University of Washington/Fred Hutchinson Cancer Research Center ; Ben Masse, Fred Hutchinson Cancer Research Center
11:15 AM On Bayesian Estimation of Marginal Structural Models Olli Saarela, McGill University ; Erica Moodie, McGill University ; David Stephens, McGill University
11:35 AM Data-Adaptive Estimation of IPW Weights for Causal Effect Estimation in Large Longitudinal Data Sets Susan Gruber, Harvard School of Public Health ; Miguel HernĂ¡n, Harvard School of Public Health
11:55 AM A Causal Effect Model with Stochastic Monotonicity Assumption for Clinical Trials with Incomplete Longitudinal Outcome Chenguang Wang ; Michael Daniels, University of Florida ; Daniel Scharfstein, The Johns Hopkins University
12:15 PM Floor Discussion



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