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Sunday, 08/04/2013
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Understanding Causal Effects in Observational Studies with Instrumental Propensity Score
Jing Cheng, University of California, San Francisco; Winston Lin, University of California, Berkeley
2:05 PM
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Analyses That Inform Policy Decisions Are, De Facto, Causal
Roee Gutman, Brown University; Donald B. Rubin, Harvard University
2:35 PM
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FDA/CBER Biologic Product Evaluation Using Observational Studies
Yun Lu, Food and Drug Administration
4:05 PM
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Safety Assessment with Observational Studies: Experiences at FDA/CDER
Mark Steven Levenson, Food and Drug Administration
4:20 PM
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Challenges and Opportunities with Observational Studies: A CDRH's Perspective
Lilly Yue, U.S. FDA
4:35 PM
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The Use of Propensity Score Methods with Survival or Time-to-Event Outcomes
Peter Austin, ICES
4:45 PM
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Tuesday, 08/06/2013
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Estimating Effect of Time-Dependent Treatment in Observational Studies
Pallavi Mishra-Kalyani, Emory University, Department of Biostatistics; Brent Johnson, Emory University, Department of Biostatistics; Qi Long, Emory University, Department of Biostatistics
11:50 AM
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Heterogeneity, Sensitivity, Resistance, Effectiveness
Lev Sverdlov
12:05 PM
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Estimating Cumulative Failure Risk Under Hypothetical Interventions on Time-Varying Treatments in Complex Observational Studies
Jessica G. Young, Harvard School of Public Health
2:05 PM
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Doubly Robust Estimators of Treatment-Specific Survival Distributions in Observational Studies with Stratified Sampling
Xiaofei Bai, North Carolina State University; Anastasios (Butch) Tsiatis, North Carolina State University; Sean M. O'Brien, Duke University Medical Center
3:35 PM
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Wednesday, 08/07/2013
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Covariate Measurement Error in Propensity Score Analysis: An Empirical Investigation of Impacts on Treatment Effect Estimates
Jeffrey D. Kromrey, University of South Florida; Patricia Rodriguez de Gil, University of South Florida; Eun Sook Kim, University of South Florida; Aarti Bellara, University of South Florida; Rheta E. Lanehart, University of South Florida; Tyler Hicks, University of South Florida; Reginald Lee, University of South Florida
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A Multiply-Robust Method to Handle Missing Confounder in Observational Studies
Lingling Li, Harvard Medical School and Harvard Pilgrim Health Care Institute; Changyu Shen, Indiana University School of Medicine; Xiaochun Li, Indiana University School of Medicine; James Robins, HSPH
9:00 AM
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Calibrating Sensitivity Analysis to Observed Covariates in Observational Studies
Jesse Yenchih Hsu, University of Pennsylvania; Dylan S Small, University of Pennsylvania
2:35 PM
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