Keyword Search
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CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: causal inference returned 34 record(s)
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Sunday, 07/28/2019
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Person as Population: a Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data
Eric J. Daza, Stanford Prevention Research Center, Stanford University School of Medicine
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Bayesian Tree Models for Continuous Treatment Effects
Jared S Murray, University of Texas at Austin
2:25 PM
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An Information-Theoretic Approach for the Evaluation of Surrogate Endpoints Based on Causal Inference
Ariel Alonso Abad, KUleuven
2:45 PM
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Person as Population: a Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data
Eric J. Daza, Stanford Prevention Research Center, Stanford University School of Medicine
3:25 PM
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Bayesian Method for Causal Inference in Spatially Correlated Multivariate Time Series
Bo Ning, Yale University
4:05 PM
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Causal Inference Under Network Interference with Noise
Wenrui Li, Boston University; Eric Kolaczyk, Boston University; Daniel L Sussman, Boston University
4:20 PM
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Discovering Heterogeneous Exposure Effects in Air Pollution Studies
Kwonsang Lee, Harvard University; Dylan Small, University of Pennsylvania; Francesca Dominici, Harvard T.H. Chan School of Public Health
4:45 PM
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Causal Inference for Policy Analysis: When Programs for Some Affect Outcomes for Others
Daniel Wilmoth, U.S. Small Business Administration
5:05 PM
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Monday, 07/29/2019
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Causal Inference in Introductory Statistics Courses
Kevin Cummiskey, West Point; Bryan Adams, West Point; James Pleuss, West Point; Dusty Turner, West Point; Nicholas Clark, West Point; Krista Watts, West Point
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Using a Combination of Nearest Matching and Synthetic Control Methods in Causal Inference Study
Zhiyiuan Dong
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Causal Inference in Introductory Statistics Courses
Kevin Cummiskey, West Point; Bryan Adams, West Point; James Pleuss, West Point; Dusty Turner, West Point; Nicholas Clark, West Point; Krista Watts, West Point
8:35 AM
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Variable Selection and Estimation in Causal Inference Using Bayesian Spike and Slab Priors
David Michael Vock, University of Minnesota; Brandon Koch, University of Nevada Reno; Julian Wolfson, University of Minnesota
8:55 AM
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Multiple Imputation Procedure for Record Linkage and Causal Inference to Estimate the Effects of Home-Delivered Meals
Mingyang Shan, Brown University; Kali Thomas, Brown University; Roee Gutman, Brown University
9:00 AM
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Minimax Optimal Causal Inference in a High-Dimensional Discrete Model
Edward Kennedy, Carnegie Mellon University
11:00 AM
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Using a Combination of Nearest Matching and Synthetic Control Methods in Causal Inference Study
Zhiyiuan Dong
11:20 AM
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Causal Inference with Interfering Units for Cluster and Population Level Treatment Allocation Programs
Georgia Papadogeorgou, Duke; Fabrizia Mealli, University of Florence; Corwin Zigler, University of Texas at Austin
2:25 PM
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Causal Inference and Casual Spatial Models: The Importance of Modeling Mechanism in Spatial Data
Ephraim Hanks, Pennsylvania State University
3:05 PM
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Tuesday, 07/30/2019
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A Comparison of Statistical Causal Inference Methods for Animal Health Applications
Ju Ji, Iowa State University; Chong Wang, Iowa State University; Zhulin He, Iowa State University; Karen Hay, QIMR Berghofer Medical Research Institute; Tamsin Barnes, The University of Queensland; Annette O'Connor, Iowa State University
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Challenges When Applying Advanced Analytics to Multiple Data Sources
David Ohlssen, Novartis
8:55 AM
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Prediction and Causal Inference Using Linear Regularized Regression with an Application to Commuting in Ireland
Achim Ahrens, Economic and Social Research Institute; Christian B Hansen, University of Chicago Booth School of Business; Mark E Schaffer, Heriot-Watt University
8:55 AM
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Variable Selection in Enriched Dirichlet Process with Applications to Causal Inference
Kumaresh Dhara, University of Florida; Michael Daniels, University of Florida
9:05 AM
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Nonparametric Bayesian Estimation of Heterogeneous Causal Effects Using Real-World Data
Xinyi Xu, The Ohio State University; Bo Lu, The Ohio State University; Steve MacEachern, The Ohio State University; Ling Wang, Michigan State University
10:55 AM
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Posterior Predictive Treatment Assignment Methods for Causal Inference in the Context of Time-Varying Treatments
Shirley Liao
11:15 AM
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Propensity Score Weighting for Causal Inference with Multiple Treatments
Fan Li, Duke University; Fan Li, Duke University
2:05 PM
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Matching Algorithms for Causal Inference with Multiple Treatments
Anthony D. Scotina, Simmons University; Roee Gutman, Brown University
2:35 PM
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Causal Inference Under Interference in Dynamic Therapy Group Studies
Susan Paddock, NORC at the University of Chicago; Bing Han, RAND Corporation; Lane Burgette, RAND Corporation
2:50 PM
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Wednesday, 07/31/2019
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Measurement Error-Robust Causal Inference via Synthetic Instrumental Variables
Caleb Miles, Columbia; Brent A. Coull, Harvard T. H. Chan School of Public Health; Linda Valeri, Columbia University Mailman School of Public Health
10:35 AM
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Causal Inference Using Propensity Score Methods with Clustered Survey Data
Hyunshik James Lee, Westat; Duck-He Yang, Westat; Ning Rui, Westat
10:55 AM
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Limitations of Design-Based Causal Inference and A/B Testing Under Arbitrary and Network Interference
Guillaume Basse, UC Berkeley; Edoardo Airoldi, Temple
11:25 AM
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Longitudinal Causal Inference Using EHRs
Roy Adams, Johns Hopkins University; Katharine E Henry, Johns Hopkins University; Hossein Soleimani, University of California - San Fransisco; Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health; Suchi Saria, Johns Hopkins University
2:45 PM
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Dealing with Time-Varying Eligibility for Exposure Using the Target Trials Approach to Causal Inference with Electronic Health Records
Mireille Schnitzer, University of Montreal
2:55 PM
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Causal Inference with Confounders Missing Not at Random
Linbo Wang, University of Toronto; Shu Yang, North Carolina State University; Peng Ding, University of California, Berkeley
3:25 PM
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