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67 | Sun, 8/9/2015, 4:00 PM - 5:50 PM | CC-615 | |
Fresh Perspectives in Causal Inference, III — Topic Contributed Papers | |||
Section on Statistics in Epidemiology , Health Policy Statistics Section , Biometrics Section | |||
Organizer(s): Susan Gruber, Reagan-Udall Foundation for the FDA, Jessica Young, Harvard School of Public Health | |||
Chair(s): Lan Liu, Harvard University | |||
4:05 PM | Bias-Reduced (BR) Doubly Robust (DR) Estimation — Karel Vermeulen, Ghent University ; Stijn Vansteelandt, Ghent University | ||
4:25 PM | Statistics in the Twilight Zone: Component-Specific Inference in Finite Mixture Models — Avi Feller, Harvard University ; Luke W. Miratrix, Harvard University ; Natesh Pillai, Harvard University ; Evan Greif, Harvard University | ||
4:45 PM | Causal Inference in Environmental Science and Agriculture: Opportunities and Challenges — Molly Davies | ||
5:05 PM | Non-Collapsibility and Selection Bias of Hazard Ratio — Menglan Pang ; Michal Abrahamowicz, McGill University ; Robert Platt, McGill University | ||
5:25 PM | Comparison of a Targeted Maximum Likelihood Estimator to Other Estimation Techniques for the One-Year Risk of Recurrent MI Among New Users of High vs. Low Potency Statins — Jonathan Todd, The University of North Carolina Gillings School of Global Public Health ; Michele Jonsson Funk, The University of North Carolina Gillings School of Global Public Health ; Alan Brookhart, The University of North Carolina at Chapel Hill | ||
5:45 PM | Floor Discussion |
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