Statistics: It's Essential
July 29 - August 3, 2017
Baltimore Convention Center
JSM 2017 Online Program
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Average treatment effect
returned 11 record(s)
Sunday, 07/30/2017
Semiparametric Inference for the Means of Heavy-Tailed Distributions
Hedibert Lopes, Insper; Matt Taddy, University of Chicago Booth School of Business; Matt Gardner, eBay
3:05 PM
Multiply Robust Estimation for Causal Treatment Effect and Average Treatment Effect Among Treated When Treatment Heterogeneity Exists
Lu Wang, University of Michigan; Peisong Han, University of Waterloo; Daniel Almirall, University of Michigan
5:05 PM
ESTIMATION of AVERAGE TREATMENT EFFECTS AMONG MULTIPLE TREATMENT GROUPS by USING ADAPTIVE ENSEMBLE METHOD
Maiying Kong, University of Louisville
5:05 PM
Monday, 07/31/2017
Estimating Average Treatment Effects with a Response-Informed Calibrated Propensity Score
David Cheng, Harvard T.H. Chan School of Public Health; Abhishek Chakrabortty, University of Pennsylvania; Ashwin N. Ananthakrishnan, Massachusetts General Hospital; Tianxi Cai, Harvard University
8:35 AM
Robust Estimation of Weighted Average Treatment Effects for a Target Population
Yebin Tao, Eli Lilly and Company; Haoda Fu
2:20 PM
On Mitigating the Analytical Limitations of Paired Experiments
Colin Fogarty, MIT Sloan School of Management
2:35 PM
Tuesday, 08/01/2017
Inference in an Instrumental Variables Model with Heterogeneous Treatment Effects and Many Instruments
Michal Kolesar, Princeton University; Kirill Evdokimov, Princeton University
8:35 AM
Wednesday, 08/02/2017
Optimally Identify High Value Subgroups of Patients via Baseline Covariates
Florence Yong, Pfizer Inc.; Lu Tian, Stanford University
9:35 AM
Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve
Edward H Kennedy, Carnegie Mellon University; Dylan Small, University of Pennsylvania
2:25 PM
Thursday, 08/03/2017
Bounded, Efficient and Triply Robust Estimation of Average Treatment Effects Using Instrumental Variables
Linbo Wang, University of Washington; Eric Tchetgen Tchetgen, Harvard University
9:05 AM
Variable Selection and Estimation in Causal Inference Using a Bayesian Group Lasso Approach
Brandon Koch, University of Minnesota, Division of Biostatistics; Julian Wolfson, University of Minnesota, Division of Biostatistics; David Vock, University of Minnesota
9:50 AM