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Tuesday, 08/03/2010
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Causal Inference in Observational Studies with Missing Data: A Bayesian Nonparametric Approach
Jennifer Hill, New York University; Jose Zubizarreta, The Wharton School, University of Pennsylvania
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Methodological Issues in the Meta-Analysis of Observational Studies
Lauren Griffith, McMaster University
8:35 AM
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A Framework for the Meta-Analysis of Survey Data
Karla M.P. Fox, Statistics Canada
9:25 AM
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A New Method for Combining Experimental and Observational Data to Estimate Population Treatment Effects
Richard Grieve, London School of Hygiene and Tropical Medicine; Erin Hartman, University of California, Berkeley; Jasjeet Sekhon, University of California, Berkeley
11:05 AM
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Simultaneous Sensitivity Analysis for Observational Studies Using Full Matching with Multiple Controls
Dylan Small, University of Pennsylvania; Joseph L. Gastwirth, Washington University; Abba Krieger, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
11:35 AM
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Using IV with Subjective Assumptions to Construct Treatment Effect Bounds on Continuous Outcomes in Observational Studies
Joseph W. Hogan, Brown University; Tao Liu, Brown University
2:05 PM
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Evaluating Distributional Treatment Effect in Observational Studies
Jing Cheng, University of Florida
2:30 PM
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Extension of Kaplan-Meier Methods in Longitudinal Observational Studies with Time-Varying Exposure
Stanley Xu, Kaiser Permanente Colorado; Susan Shetterly, Kaiser Permanente Colorado; David Powers, U.S. Census Bureau; Marsha Raebel, Kaiser Permanente Colorado; Michael Ho, Denver VA Medical Center; Thomas Tsai, Denver VA Medical Center; David Magid, Kaiser Permanente Colorado
3:05 PM
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