Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: treatment effect returned 38 record(s)
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Sunday, 07/30/2017
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Bayesian Causal Forests
Richard Hahn, University of Chicago; Jared S Murray, Carnegie Mellon University; Carlos Carvalho, University of Texas at Austin
2:05 PM
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Constructing a Confidence Interval for the Fraction Who Benefit from Treatment Using Randomized Trial Data
Emily Huang, Johns Hopkins University Department of Biostatistics; Ethan Fang, Pennsylvania State University; Daniel Hanley, Johns Hopkins Division of Brain Injury Outcomes; Michael Rosenblum, Johns Hopkins University
2:50 PM
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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
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A Parametric Bayesian Approach to Estimating Causal Treatment Effect on Medical Costs
Arman Oganisian, University of Pennsylvania; Andrew Spieker, University of Pennsylvania; Jason A Roy, University of Pennsylvania; Nandita Mitra, University of Pennslyvania
4:50 PM
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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
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ESTIMATION of AVERAGE TREATMENT EFFECTS AMONG MULTIPLE TREATMENT GROUPS by USING ADAPTIVE ENSEMBLE METHOD
Maiying Kong, University of Louisville
5:05 PM
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Monday, 07/31/2017
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Quantifying the Value of Research: Identifying and Measuring Treatment Effect Modifiers
Katherine Lofgren, Harvard University; Daniel Kramer, Beth Israel Deaconess Medical Center; Joshua Salomon, Harvard T.H. Chan School of Public Health; Laura Anne Hatfield, Harvard Medical School
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Detection of Treatment Effect After Variable Selection Under Model Misspecification
Jingshen Wang, University of Michigan; Xuming He, University of Michigan
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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
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Improving Power in Group Sequential, Randomized Trials by Adjusting for Prognostic Baseline Variables and Short-Term Outcomes
Tianchen Qian, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University; Huitong Qiu, Vatic Lab
8:35 AM
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Flexible Hypothesis Testing Method for Clinical Trials Using Composite Endpoint
Jin Xu, Merck; David Li, Pfizer
9:35 AM
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Detection of Treatment Effect After Variable Selection Under Model Misspecification
Jingshen Wang, University of Michigan; Xuming He, University of Michigan
10:05 AM
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Using Bayesian Methods to Incorporate Historical Information on Control Rate and Treatment Effect: An HIV-Paediatric Trial
Clara Dominguez Islas, MRC Biostatistics Unit; Nicky Best, GlaxoSmithKline; Rebecca Turner, MRC Biostatistics Unit; Naomi Givens, GlaxoSmithKline; Rimgaile Urbaityte, GlaxoSmithKline; Sophie Barthel, GlaxoSmithKline; Adrian Mander, MRC Biostatistics Unit
11:35 AM
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Quantifying the Value of Research: Identifying and Measuring Treatment Effect Modifiers
Katherine Lofgren, Harvard University; Daniel Kramer, Beth Israel Deaconess Medical Center; Joshua Salomon, Harvard T.H. Chan School of Public Health; Laura Anne Hatfield, Harvard Medical School
11:35 AM
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PCORI: Advancing Methods for Analyzing Electronic Health Records Data
David H. Hickam, Patient Centered Outcomes Research Institute
2:05 PM
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Robust Estimation of Weighted Average Treatment Effects for a Target Population
Yebin Tao, Eli Lilly and Company; Haoda Fu
2:20 PM
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On Mitigating the Analytical Limitations of Paired Experiments
Colin Fogarty, MIT Sloan School of Management
2:35 PM
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Efficient Approaches to Identifying Markers That Predict Treatment Effects in Randomized Clinical Trials
James Dai, Fred Hutchinson Cancer Research Center; Michael LeBlanc, Fred Hutchinson Cancer Research Center
3:05 PM
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Tuesday, 08/01/2017
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A Bayesian Approach for Instrumental Variable Analysis
Samrachana Adhikari, Harvard Medical School; Sharon-Lise Normand, Harvard Medical School
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On Measure of Surrogacy for Biomarkers in Medical Research.
Rui Zhuang, University of Washington; Ying Qing Chen, Fred Hutchinson Cancer Research Center
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Inference in an Instrumental Variables Model with Heterogeneous Treatment Effects and Many Instruments
Michal Kolesar, Princeton University; Kirill Evdokimov, Princeton University
8:35 AM
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Generated Effect Modifiers in Linear and Nonparametric Models
Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, Wright State University; Hyung Park, Columbia University; Zhe Su, New York University School of Medicine; R. Todd Ogden, Department of Biostatistics, Columbia University
9:00 AM
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On Measure of Surrogacy for Biomarkers in Medical Research.
Rui Zhuang, University of Washington; Ying Qing Chen, Fred Hutchinson Cancer Research Center
9:10 AM
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Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation
Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I; Stijn Vansteelandt, Ghent University
9:35 AM
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The Impact of the Treatment Effect on Sample Size Estimation
Jerry Hintze, NCSS
10:35 AM
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A Bayesian Approach to Latent Class Modeling with Ordinal Response Data
Padma Sharma, UC Irvine
3:05 PM
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Wednesday, 08/02/2017
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Identification of Subgroups with Heterogeneous Treatment Effect in Dose-Response Studies
Bjorn Bornkamp, Novartis Pharma AG; Marius Thomas, Novartis
8:35 AM
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Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods
Hemant Ishwaran, University of Miami
9:00 AM
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Estimation in Multisite Randomized Trials with Heterogeneous Treatment Effects
Daniel Schwartz, University of Chicago; Stephen Raudenbush, University of Chicago
9:20 AM
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Stochastic Optimization of Adaptive Enrichment Designs for Two Subpopulations
Michael Rosenblum, Johns Hopkins University; Aaron Fisher, Harvard University-Department of Biostatistics; Joshua A Betz, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University
9:35 AM
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Optimally Identify High Value Subgroups of Patients via Baseline Covariates
Florence Yong, Pfizer Inc.; Lu Tian, Stanford University
9:35 AM
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Inferences from Various Study Designs for Companion Diagnostic Device Evaluation
Jeng Mah, Beckman Coulter
9:50 AM
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An Optimal Covariate-Adaptive Design to Balance Tiers of Covariates
Fan Wang; Feifang Hu, George Washington University
11:50 AM
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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
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Evaluating Treatment Effectiveness from Nationwide Population-Based Clinical Databases
Chen-Hsin Chen, Academia Sinica (Institute of Statistical Science); Y.-C. Tsay, Academia Sinica (Institute of Statistical Science); C.-W. Ou-Young, Academia Sinica (Institute of Statistical Science); M.-S. Lai, National Taiwan University (Institute of Epidemiology and Prevention Medicine)
2:50 PM
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Thursday, 08/03/2017
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On Testing Conditional Qualitative Treatment Effects
Chengchun Shi, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, NC State University
8:35 AM
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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
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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
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