Legend: CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
Activity Details
309
Tue, 7/30/2019,
8:30 AM -
10:20 AM
CC-110
Advances in Causal Inference — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Danielle Braun, Harvard University
8:35 AM
A Comparison of Different Statistical Approaches to Deal with Model Misspecification and Missing Outcome Data
Veronica Sciannameo, University of Padova ; Gian Paolo Fadini, University of Padova; Daniele Bottigliengo, University of Padova; Angelo Avogaro, University of Padova; Ileana Baldi, University of Padova; Dario Gregori, University of Padova; Paola Berchialla, University of Torino
8:50 AM
A Simulation Study on the Performance of AIPW and TMLE in Estimating Parameters of Marginal Structural Models Based on Real-World Longitudinal Data
Dawei Liu, Biogen ; John Zhong, Biogen; Carl De Moor, Biogen
9:05 AM
Sensitivity Analysis Statistics for Routine Reporting: The Partial R2 and the Robustness Value
Carlos Leonardo Kulnig Cinelli, UCLA ; Chad Hazlett, UCLA
9:20 AM
On the Robustness of Doubly Robust Estimators in Causal Inference
Weicong Lyu, University of Wisconsin-Madison ; Peter Steiner, University of Wisconsin
9:35 AM
Rethinking Meta-Analysis: Addressing Problems of Non-Transportability When Combining Treatment Effects Across Patient Populations
Tat Thang Vo, Ghent University ; Stijn Vansteelandt, Ghent University; Raphael Porcher, Centre de Recherche Épidémiologie et StatistiqueS Université de Paris (CRESS-UMR1153)
9:50 AM
Multiple Imputation Strategies for Handling Missing Data When Generalizing Randomized Clinical Trial Findings Through Propensity Score-Based Methodologies
Albee Ling, Stanford University ; Maya B Mathur, Harvard University; Kris Kapphahn, Stanford University; Maria Montez-Rath , Stanford University; Manisha Desai, Stanford University Quantitative Sciences Unit
10:05 AM
Can We Attribute Suicides to an App? Nonparametric Estimation the Probability of Causation
Maria Cuellar, Carnegie Mellon University ; Walter Dempsey, Harvard University
