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392 * ! Tue, 7/31/2012, 2:00 PM - 3:50 PM CC-Room 24A
Methods for Improving Causal Analysis in Observational Studies — Topic Contributed Papers
Section on Statistics in Epidemiology , Section on Survey Research Methods , International Indian Statistical Association
Organizer(s): Mike Baiocchi, Stanford University
Chair(s): Dylan Small, The Wharton School
2:05 PM Making Instrumental Variables Look More Like Experimental Design Mike Baiocchi, Stanford University ; Dylan Small, The Wharton School ; Daniel Polsky, University of Pennsylvania
2:25 PM Calibrated Sensitivity Analysis for the Instrumental Variables Method for Observational Studies Yenchih Hsu, University of Pennsylvania ; Scott A Lorch, University of Pennsylvania ; Dylan Small, The Wharton School
2:45 PM Mediation Analysis on General Outcomes with Application to Dental Studies Jing Cheng, University of California at San Francisco School of Dentistry ; John Featherstone, University of California at San Francisco School of Dentistry ; Stuart Gansky, University of California at San Francisco School of Dentistry
3:05 PM Making Public Performance Reporting Meaningful and Useful: Large Observational Studies of the Role of Electronic Health Records in Chronic Disease Care Thomas Love, Case Western Reserve University
3:25 PM Response Surface Matching for Survey Nonresponse Frank Yoon, Mathematica Policy Research
3:45 PM Floor Discussion



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