Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: treatment effect returned 45 record(s)
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Sunday, 07/31/2016
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Composite Bootstrap Test with Counterintuitive Resampling Method to Compare Two Groups: An Application to Randomized Clinical Trials
Alok Dwivedi, Texas Tech University Health Sciences Center El Paso; Christopher Dodoo, Texas Tech University Health Sciences Center El Paso; Sada Nand Dwivedi, All India Institute of Medical Sciences; Rakesh Shukla, University of Cincinnati
4:35 PM
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Characterizing Causal Treatment Effect Heterogeneity with Conditional Inference Trees
Julian Wolfson, University of Minnesota; Lauren Erickson, HealthPartners Institute for Education and Research
4:35 PM
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A Simple, Graphical Procedure for Comparing Multiple Treatment Effects
Matthew Webb, Carleton University; Brennan Scott Thompson, Ryerson University
4:50 PM
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An Evaluation of Treatment Effect in Opt-In Versus Opt-Out Consent Frameworks Under a Mixture of Participant Motivation Levels
Alessandra Valcarcel, University of Pennsylvania
5:05 PM
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Monday, 08/01/2016
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A Group Sequential Test of a Competing Risk Endpoint for Treatment Effect Based on the Fine-Gray Model
Michael Martens, Medical College of Wisconsin; Brent Logan, Medical College of Wisconsin
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Causal Inference with a Continuous Treatment and Outcome: Alternative Estimators for Parametric Dose-Response Functions
Douglas Galagate
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A STEPP Forward in Tailoring Treatment: New Research on the STEPP Methodology
Wai-Ki Yip, Dana-Farber Cancer Institute
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Example-Based Illustrations of Design, Conduct, Analysis, and Result Interpretation of Multi-Regional Clinical Trials
Hui Quan, Sanofi; Xuezhou Mao, Sanofi
9:35 AM
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A STEPP Forward in Tailoring Treatment: New Research on the STEPP Methodology
Wai-Ki Yip, Dana-Farber Cancer Institute
10:10 AM
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Correcting Treatment Effect for Treatment Switching in Randomized Oncology Trials with a Generalized Rank-Preserving Structural Failure Time Model
Jin Zhang, Merck; Cong Chen, Merck
10:50 AM
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Comparison of Treatment Effects Between U.S. and Non-U.S. Study Sites in Multiregional Alzheimer's Disease Clinical Trials
Jingyu Luan, FDA; Hsien-Ming James Hung, FDA; Ranjit Mani, FDA
11:05 AM
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Causal Inference with a Continuous Treatment and Outcome: Alternative Estimators for Parametric Dose-Response Functions
Douglas Galagate
11:05 AM
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Data-Driven Confounder Selection via Markov and Bayesian Networks
Jenny Haggstrom, Umea University
11:20 AM
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Mixture Model for Radiographic Progression in Psoriatic Arthritis
Bin Dong, Janssen R&D; Jiandong lu, Janssen R&D
11:50 AM
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Nonparametric Methods for Doubly Robust Estimation of Continuous Treatment Effects
Edward Kennedy, University of Pennsylvania; Zongming Ma, University of Pennsylvania; Dylan Small, University of Pennsylvania
2:05 PM
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Enrichment Design with Patient Augmentation for Time-to-Event Data
Yijie Zhou, AbbVie; Bo Yang, Vertex Pharmaceuticals; Lanju Zhang, AbbVie; Lu Cui, AbbVie
2:50 PM
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Bayesian Bounding of the Population Subgroup Which Benefits from Treatment
Patrick Schnell, University of Minnesota; Qi Tang, AbbVie; Walt Offen, AbbVie; Bradley Carlin, University of Minnesota
3:05 PM
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Tuesday, 08/02/2016
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Regularized Efficient Score Estimation and Testing Approach in Low-Dimensional and High-Dimensional GLM
Lixi Yu, University of Iowa; Jian Huang, University of Iowa
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GLiDeR: Doubly Robust Estimation of Causal Treatment Effects with the Group Lasso
Brandon Koch, University of Minnesota School of Public Health; David Vock, University of Minnesota School of Public Health; Julian Wolfson, University of Minnesota
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Sensitivity Analysis for an Unobserved Moderator in RCT-to-Target-Population Generalization of Treatment Effect
Ben Ackerman, Johns Hopkins School of Public Health; Cyrus Ebnesajjad, Johns Hopkins Bloomberg School of Public Health; Trang Q. Nguyen, Johns Hopkins Bloomberg School of Public Health; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
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Variable Selection in Empirical Economics: Potential Pitfalls and Solutions
Christian Hansen, The University of Chicago Booth School of Business; Esther Duflo, MIT; Victor Chernozhukov, MIT; Maddie McKelway, MIT
8:35 AM
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Lasso Adjustments of Treatment Effect Estimates in Randomized Experiments
Adam Bloniarz, University of California at Berkeley; Cun-Hui Zhang, Rutgers University; Hanzhong Liu, University of California at Berkeley; Jasjeet Sekhon, University of California at Berkeley; Bin Yu, University of California at Berkeley
8:35 AM
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Generating Treatment Effect Modifiers from Complex Data Modalities
Thaddeus Tarpey, Wright State University; Eva Petkova, New York University; Robert Todd Ogden, Columbia University
8:55 AM
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Sensitivity Analysis for an Unobserved Moderator in RCT-to-Target-Population Generalization of Treatment Effect
Ben Ackerman, Johns Hopkins School of Public Health; Cyrus Ebnesajjad, Johns Hopkins Bloomberg School of Public Health; Trang Q. Nguyen, Johns Hopkins Bloomberg School of Public Health; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
9:10 AM
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A Class of Semiparametric Tests of Treatment Effect Robust to Measurement Error of a Confounder
Caleb Miles, University of California at Berkeley; Eric Tchetgen Tchetgen, Harvard
2:05 PM
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Wednesday, 08/03/2016
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Using Propensity Scores to Infer Causal Effects on Heart Health from Chemotherapy Treatment of Breast Cancer Patients
John Craycroft, University of Louisville; Maiying Kong, University of Louisville; Carrie Lenneman, University of Louisville
8:35 AM
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Multiple Testing Procedures for Adaptive Enrichment Designs: Combining Group Sequential and Reallocation Approaches
Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health; Tianchen Qian, Johns Hopkins Bloomberg School of Public Health; Yu Du, Johns Hopkins Bloomberg School of Public Health; Huitong Qiu, Johns Hopkins Bloomberg School of Public Health; Aaron Fisher, The Johns Hopkins University
8:50 AM
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False Discovery Rate Control for Effect Modification in Observational Studies
Bikram Karmakar, University of Pennsylvania; Ruth Heller, Tel-Aviv University; Dylan Small, University of Pennsylvania
9:05 AM
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Bagged One-to-One Matching for Efficient and Robust Treatment Effect Estimation
Lauren Samuels, Vanderbilt University; Robert Greevy, Vanderbilt University
11:50 AM
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Estimation and Inference of Treatment Effect Heterogeneity in Randomized Experiments
Max H. Farrell, The University of Chicago Booth School of Business
2:05 PM
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Comparison of Propensity Score Methods for Estimating Average Treatment Effects with Ordinal Treatment
Juan Ding, Vanderbilt University; Chang Yu, Vanderbilt University; Hui Nian, Vanderbilt University; Tebeb Gebretsadik, Vanderbilt University; Tan Ding, Vanderbilt University; William Dupont, Vanderbilt University; Tina Hartert, Vanderbilt University; Pingsheng Wu, Vanderbilt University
2:05 PM
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Accounting for Uncertainty in Confounder and Effect Modifier Selection When Estimating Average Causal Effects in Generalized Linear Models
Chi Wang, University of Kentucky; Francesca Dominici, Harvard T.H. Chan School of Public Health; Giovanni Parmigiani, Dana-Farber Cancer Institute/Harvard T.H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health
2:05 PM
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Quantifying the Causal Effect of Speed Cameras on Road Traffic Accidents via an Approximate Bayesian Doubly Robust Estimator
Daniel Graham, Imperial College London; Haojie Li, Southeast University
2:20 PM
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On the Use of the Treatment Effect in the Imputation Model for Multiple Imputation Analyses of Missing Data
Robert Small, Sanofi Pasteur
2:20 PM
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Testing Treatment Effect in Clinical Trials with Patient Dropout Using Latent Mixture Models
Fanhui Kong, FDA; Yeh-Fong Chen, FDA
2:20 PM
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Measures of Clinical Benefit in Immuno-Oncology Studies
Luping Zhao; Pralay Mukhopadhyay, AstraZeneca
2:25 PM
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Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests
Susan Athey, Stanford University; Stefan Wager, Stanford University
2:30 PM
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Making Sense of Digital Experiments with Bayesian Nonparametrics
Matt Taddy, Chicago Booth
2:55 PM
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Sufficient Dimension Reduction for Treatment Effect Estimation
Wenbo Wu, University of Oregon; Craig A. Rolling, University of Oregon
3:20 PM
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An Ensemble Classifier for Estimating Treatment Effects of Multiple Treatment Groups
Maiying Kong, University of Louisville; Younathan Abdia, University of Louisville; Somnath Datta, University of Florida; K.B. Kulasekera, University of Louisville
3:20 PM
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Efficient Discovery of Heterogeneous Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
Edward McFowland, Carlson School of Management; Sriram Somanchi, University of Notre Dame; Daniel B. Neill, Carnegie Mellon University
3:35 PM
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Thursday, 08/04/2016
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Use of the VG (Virtual Twins Combined with GUIDE) Method in the Development of Precision Medicines
Jia Jia; Qi Tang, AbbVie; Wangang Xie, AbbVie; Richard A. Rode, AbbVie
8:35 AM
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A Versatile Multi-Domain Test with Adaptive Weighting
Yang Zhao, Sanofi Genzyme; Stephen Lake, Sanofi Genzyme
9:35 AM
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Development of Predictive Signature to Identify Patient Subgroups with Differential Treatment Effect
Yu-Chuan Chen; James Chen, FDA/NCTR; Un Jung Lee, FDA/NCTR
9:35 AM
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Design Immunotherapy Trials with Delayed Treatment Effect
Zhenzhen Xu, FDA; Boguang Zhen, FDA; Yongseok Park, University of Pittsburgh; BIN ZHU, National Cancer Institute
10:35 AM
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