Keyword Search
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* = applied session ! = JSM meeting theme
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Keyword Search Criteria: causal effects returned 18 record(s)
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Monday, 07/30/2018
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A Bayesian Nonparametric Approach to Estimate Causal Effects of Mediation in the Presence of Nonignorable Missingness
Dandan Xu, US Food and Drug Administration; Michael Daniels, University of Florida
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Accounting for Variation in Instrumental Effect Estimates Leads to More Precise Estimates of Causal Effects in MR Studies
Richard Barfield, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
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A Bayesian Nonparametric Approach to Estimate Causal Effects of Mediation in the Presence of Nonignorable Missingness
Dandan Xu, US Food and Drug Administration; Michael Daniels, University of Florida
11:10 AM
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Accounting for Variation in Instrumental Effect Estimates Leads to More Precise Estimates of Causal Effects in MR Studies
Richard Barfield, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
12:00 PM
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Tuesday, 07/31/2018
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Estimating Causal Effects with Propensity Score in Cluster Sample Surveys
Giovanni Nattino, Ohio State University; Bo Lu, The Ohio State University
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Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series
Ivana Malenica; Mark van der Laan, UC Berkeley
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Estimating Causal Effects of Organ Transplantation Treatment Regimes
David Michael Vock, University of Minnesota; Jeffrey Boatman, Gustavus Adolphus College
10:35 AM
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Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series
Ivana Malenica; Mark van der Laan, UC Berkeley
10:35 AM
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Estimating Causal Effects with Propensity Score in Cluster Sample Surveys
Giovanni Nattino, Ohio State University; Bo Lu, The Ohio State University
11:35 AM
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Time-Varying Survivor Average Causal Effects with Semicompeting Risks
Leah Comment, Harvard T.H. Chan School of Public Health; Fabrizia Mealli, University of Florence; Corwin Zigler, Harvard T.H. Chan School of Public Health
11:35 AM
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Wednesday, 08/01/2018
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Using Twin Study Data to Identify Causal Effects Under Latent Confounding
Yige Li, Harvard School of Public Health; Zhichao Jiang, Princeton University; Zhi Geng, Peking University
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A Powerful Approach to the Study of Moderate Effect Modification in Observational Studies
Kwonsang Lee, Harvard University; Dylan Small, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM
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Sharp Instruments for Classifying Compliers and Generalizing Causal Effects
Edward Kennedy, Carnegie Mellon University
10:35 AM
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Exact Conditional Randomization Tests for Causal Effects Under Interference
Panagiotis Toulis, University of Chicago; Avi Feller, UC Berkeley; Guillaume Basse, Harvard University
2:45 PM
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Thursday, 08/02/2018
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Finding and Combining Multiple Designed Data Sets for Estimating Causal Effects in Observational Studies
Zach Branson, Harvard University; Marie-Abele Bind, Harvard University
9:20 AM
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Causal Inference with Interference and Noncompliance in the Two-Stage Randomized Experiments
Zhichao Jiang, Princeton University; Kosuke Imai, Princeton University; Anup Malani, University of Chicago
10:35 AM
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Causal Effects in Partially and Non-Randomized Two-Stage Designs with Interference
Avi Feller, UC Berkeley; Samuel David Pimentel, University of California, Berkeley; Panos Toulis, University of Chicago; Guillaume Basse, Harvard University; Luke J. Keele, University of Pennsylvania
11:25 AM
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