Keyword Search
Sessions Were Renumbered as of May 19.
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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: Causal Inference returned 82 record(s)
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Sunday, 07/31/2016
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Estimating the Causal Impact of Recommendation Systems from Observational Data
Amit Sharma, Microsoft Research; Jake Hofman, Microsoft Research; Duncan Watts, Microsoft Research
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Causal Inference from Observational Studies with Partial Interference
Brian Barkley, The University of North Carolina at Chapel Hill; Michael Hudgens, The University of North Carolina at Chapel Hill
2:05 PM
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Addressing Spatial Interference in Causal Analysis
Keith William Zirkle, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University; Saba W. Masho, Virginia Commonwealth University
2:25 PM
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Evaluating Air Quality Control Policies: Bipartite Causal Inference with Interference
Corwin Zigler, Harvard T.H. Chan School of Public Health
3:05 PM
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Survival Mediation Analysis Using Semiparametric Probit Models with Application to Integrative Genomics
Yen-Tsung Huang, Brown University; Tianxi Cai, Harvard
3:20 PM
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On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
Wei Luo, Baruch College
3:20 PM
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Causal Mechanisms and Spillover Effects in Clustered Encouragement Designs
Fabrizia Mealli, University of Florence; Laura Forastiere, University of Florence
3:25 PM
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Causal Inferences from Observational Studies: Fracking, Earthquakes, and Oklahoma
Howard Wainer, NBME
4:05 PM
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Maximizing the Information Content of a Balanced Matched Sample
Jose Zubizarreta, Columbia University; Cinar Kilcioglu, Columbia University
4:05 PM
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Multiple Imputation Framework to Estimate Causal Effect of Testing on Treatment Decision
Irina Bondarenko, University of Michigan; Yun Li, University of Michigan
4:05 PM
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Generalized Full Matching
Fredrik Sävje, University of California at Berkeley; Michael Higgins, Kansas State University; Jasjeet Sekhon, University of California at Berkeley
4:25 PM
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Constructed Second Control Groups and Attenuation of Unmeasured Biases
Samuel D. Pimentel, University of Pennsylvania; Dylan Small, University of Pennsylvania; Paul R. Rosenbaum, University of Pennsylvania
4:45 PM
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Sharp Bounds of Causal Effects on Ordinal Outcomes
Jiannan Lu, Microsoft; Peng Ding, University of California at Berkeley; Dasgupta Tirthankar, Harvard
4:50 PM
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Monday, 08/01/2016
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Stratified Exact Test and Confidence Interval for Causal Effects on a Binary Outcome Based on Principal Stratification
Yasutaka Chiba
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Causality in a Social World: Moderation, Mediation, and Spill-Over
Guanglei Hong, The University of Chicago
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Adjustment by Minimum Discriminant Information in the Presence of Measurement Error
Daniel F. McCaffrey, Educational Testing Service; J.R. Lockwood, Educational Testing Service; Shelby Haberman, Educational Testing Service; Lili Yao, Educational Testing Service
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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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Testing for Network Effects in Field Experiments: Examples from Legislative Studies
Sayali Phadke, Penn State University; Bruce A. Desmarais, Penn State University
9:50 AM
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Estimands: Are We Estimating What We Intend to Estimate?
Mouna Akacha , Novartis Pharma AG
10:35 AM
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A Simple Fix for Bias Due to a Latent/Mismeasured Covariate in Propensity Score Weighting Analysis: Factor Scores from Models Inclusive Treatment and Other Covariates
Trang Q. Nguyen, Johns Hopkins Bloomberg School of Public Health; Cyrus Ebnesajjad, Johns Hopkins Bloomberg School of Public Health; Hwanhee Hong, Johns Hopkins Bloomberg School of Public Health; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
10:50 AM
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Peer Encouragement Designs in Causal Inference with Interference
Hyunseung Kang, Stanford University
10:55 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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Model-Assisted Design of Experiments in the Presence of Network-Correlated Outcomes
Guillaume Basse, Harvard
11:15 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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Matching Methods for Large Networks
Alexander Volfovsky, Harvard
11:35 AM
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Profiling Hospitals Based on Degree of Aggressiveness in Treating Patients with Advanced Cancer
Tianyi Cai, Harvard; Sherri Rose, Harvard Medical School; Deborah Schrag, Dana-Farber Cancer Institute; Francesca Dominici, Harvard T.H. Chan School of Public Health
11:35 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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Application of Propensity-Score Matching in Data Augmentation of Randomized Clinical Trials: A Case Study
Junjing Lin, AbbVie; Margaret Gamalo-Siebers, Eli Lilly and Company; Ram Tiwari, FDA/CDER/OT/OB
2:20 PM
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Causal Inference from Big Data: Theoretical Foundations and the Data-Fusion Problem
Elias Bareinboim, Purdue University
3:05 PM
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Sharp Sensitivity Bounds for Mediation Under Unmeasured Mediator-Outcome Confounding
Peng Ding, University of California at Berkeley
3:25 PM
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Disentangling Bed Nets and Spillover Effects in a Clustered Encouragement Design for Malaria Control: A Bayesian Principal Stratification Approach
Laura Forastiere, University of Florence; Fabrizia Mealli, University of Florence; Tyler J. VanderWeele, Harvard
3:25 PM
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Tuesday, 08/02/2016
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Bayesian Causal Inference Analyses with Unmeasured Confounders
Negar Jaberansari, University of Cincinnati; Bin Huang, Cincinnati Children's Hospital Medical Center
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Estimating the Causal Effect of Lowering Particulate Matter Levels Below the National Ambient Air Quality Standards on Health Outcomes
Maggie Makar, MIT; Joseph Antonelli, Harvard T.H. Chan School of Public Health; Qian Di, Harvard T.H. Chan School of Public Health; Joel Schwartz, Harvard T.H. Chan School of Public Health; David Cutler, Harvard; Francesca Dominici, Harvard T.H. Chan School of Public Health
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Bayesian Method for Causal Inference in High-Dimensional Time Series with Applications to Sales Data
BO NING
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Compartmental Model Diagrams as Causal Representations in Relation to DAGs
Sarah Ackley
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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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Causal Inference with Partial Interference and Right-Censored Outcomes
Sujatro Chakladar; Michael Hudgens, The University of North Carolina at Chapel Hill
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Matching Estimators for Causal Effects with Multiple Treatments
Anthony Scotina; Roee Gutman, Brown University
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Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score
Ziyue Chen, The Ohio State University; Eloise Kaizar, The Ohio State University
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Assessment of Meals on Wheels Program Efficacy via Record Linkage with Medicare Claim Files
Mingyang Shan, Brown University; Roee Gutman, Brown University
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Adjusting for Noncompliance in Randomized Clinical Trials When Noncompliance Must Be Estimated from a Biomarker
Jeffrey Boatman; David Vock, University of Minnesota School of Public Health; Joseph S. Koopmeiners, University of Minnesota
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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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Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score
Ziyue Chen, The Ohio State University; Eloise Kaizar, The Ohio State University
8:35 AM
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Matching Estimators for Causal Effects with Multiple Treatments
Anthony Scotina; Roee Gutman, Brown University
8:45 AM
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Causal Inference in Network-Dependent Observational Data
Oleg Sofrygin, University of California at Berkeley; Mark van der Laan, University of California at Berkeley
8:55 AM
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Pathway Lasso: Estimate and Select Sparse Mediation Pathways with High-Dimensional Mediators
Yi Zhao, Brown University; Xi Luo, Brown University
9:05 AM
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Estimating Pathways and Health Benefits in Air Pollution Interventions
Roger Peng, The Johns Hopkins University
9:15 AM
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On Double Robustness in Estimating a Causal Effect When a Confounder Is Missing at Random
Katherine Evans, Harvard; Eric Tchetgen Tchetgen, Harvard
9:50 AM
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Assessment of Meals on Wheels Program Efficacy via Record Linkage with Medicare Claim Files
Mingyang Shan, Brown University; Roee Gutman, Brown University
10:00 AM
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Adjusting for Noncompliance in Randomized Clinical Trials When Noncompliance Must Be Estimated from a Biomarker
Jeffrey Boatman; David Vock, University of Minnesota School of Public Health; Joseph S. Koopmeiners, University of Minnesota
10:05 AM
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Graphical Tools to Detect and Adjust for Invalid Instruments in Mendelian Randomization
Jack Bowden, University of Bristol
2:05 PM
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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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Bayesian Approaches to Modeling Complex Phenomena in Health Applications
Jennifer L. Hill, New York University; Vincent Dorie, New York University; Nicole Carnegie, University of Wisconsin - Milwaukee; Masataka Harada, National Graduate Institute for Policy Studies
2:45 PM
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Instrumental Variable Estimation in Observational Studies
Miguel Hernan, Harvard
2:55 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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Propensity Scoring Methods for Ordinal Treatments
Thomas Greene, The University of Texas Health Science Center at Houston; Stacia DeSantis, The University of Texas Health Science Center at Houston; Michael D. Swartz, The University of Texas Health Science Center at Houston
8:50 AM
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Causal Inference with Unequal Sampling Weights: Investigating Policy Effect Using Population Health Surveys
Bo Lu, The Ohio State University; Robert Ashmead, U.S. Census Bureau
9:00 AM
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Instrumental Variable with Competing Risk Model
Cheng Zheng, University of Wisconsin - Milwaukee; Ran Dai, The University of Chicago; Parameswaran Hari, Medical College of Wisconsin; Mei-Jie Zhang, Medical College of Wisconsin
9:20 AM
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Optimal Multilevel Matching Using Network Flows: An Application to a Summer Reading Intervention
Luke Keele, Penn State University; Samuel D. Pimentel, University of Pennsylvania
9:20 AM
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Causal Inference Methods in Traffic Safety Research
Fan Li, Duke University
9:25 AM
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Don't Believe What You See: Prediction Paradoxes in Sports
Alexander D'Amour, Harvard
9:35 AM
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A Gaussian-Probit Model for Bayesian Network with Mixed Variables
Qingyang Zhang, University of Arkansas; Ji-Ping Wang, Northwestern University
9:35 AM
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Heterogeneity in Network Meta-Analysis from a Causal Inference Perspective
Mireille Elisa Schnitzer, Université de Montréal; Russell Steele, McGill University; Ian Shrier, McGill University
10:35 AM
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Proximity Score Matching: Using the Random Forest Proximity Matrix for Matching in Causal Inference
Hui Fen Tan, Cornell University; David Isaac Miller, Northwestern University; James Savage, Lendable
10:35 AM
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Discovering Effect Modification in Matched Observational Studies with Multiple Controls
Kwonsang Lee, University of Pennsylvania; Dylan Small, University of Pennsylvania; Paul R. Rosenbaum, University of Pennsylvania
10:50 AM
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Using Observed Outcomes to Design High-Dimensional Propensity Scores
Lo-Hua Yuan, Harvard; Luke Miratrix, Harvard University; Donald B. Rubin, Harvard
11:35 AM
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Causal Mediation Analysis of Social Networks
Adam Chaim Sales, The University of Texas at Austin; Tracy Sweet, University of Maryland; Brian W. Junker, Carnegie Mellon University
11:50 AM
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Causal Regression Discontinuity and Its Application to a Biomedical Example
Marie-Abele Bind; Fan Li, Duke University; Farbizia Meali, University of Florence
2:05 PM
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A Dirichlet Process Functional Approach to Heteroscedastic-Consistent Covariance Estimation and Sensitivity Analysis of Causal Effects
George Karabatsos, University of Illinois at Chicago
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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Design, Identification, and Sensitivity Analysis for Patient Preference Trials
Teppei Yamamoto, MIT; Dean Knox, MIT; Berinsky Adam, MIT; Matthew Baum, Harvard
2:35 PM
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Overlap Propensity Score Weighting to Balance Covariates
Kari Lock Morgan, Penn State University; Fan Li, Duke University; Alan M. Zaslavsky, Harvard Medical School
2:35 PM
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A Bayesian Nonparametric Causal Inference Model for Comparative Effectiveness Research
Chenguang Wang, The Johns Hopkins University
2:45 PM
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Making Sense of Digital Experiments with Bayesian Nonparametrics
Matt Taddy, Chicago Booth
2:55 PM
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Bayesian Semiparametric Latent Mediation Model
Chanmin Kim, Harvard; Michael Daniels, The University of Texas at Austin; Yisheng Li, MD Anderson Cancer Center
3:05 PM
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Collaborative Targeted Learning for Large-Scale and High-Dimensional Data
Cheng Ju, University of California at Berkeley; Mark van der Laan, University of California at Berkeley; Susan Gruber, Harvard T.H. Chan School of Public Health; Jessica Franklin, Brigham and Women's Hospital; Richard Wyss, Brigham and Women's Hospital; Wesley Eddings, Brigham and Women's Hospital; Sebastian Schneeweiss, Brigham and Women's Hospital
3:20 PM
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Thursday, 08/04/2016
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Finding Common Support for Causal Inference Through Largest Connected Components
Sharif Mahmood, Kansas State University; Michael Higgins, Kansas State University
8:50 AM
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Estimating the Optimal Regime to Prolong Survival in Treatment of Prostate Cancer Recurrence Using Flexible Weighting Models
Jincheng Shen, Harvard T.H. Chan School of Public Health; Lu Wang, University of Michigan; Jeremy M. G. Taylor, University of Michigan
9:25 AM
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Stable Balancing Weights for Marginal Structural Models
Maria de los Angeles Resa Juarez, Columbia University; Jose Zubizarreta, Columbia University
10:50 AM
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Increasing the Power of the Mann-Whitney Test in Randomized Experiments Through Flexible Covariate Adjustment
Karel Vermeulen, Ghent University; Olivier Thas, Ghent University; Stijn Vansteelandt, Ghent University
11:05 AM
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New Machine-Learning Approaches to Causal Inference
Cynthia Rudin, Duke University
11:25 AM
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Causal Inference in Observational Studies using data integration in large scales and creating strong instrumental variables
Azam Yazdani; Akram Yazdani, The University of Texas Health Science Center at Houston; Ahmad Samiei, Hasso-Plattner-Institut für Softwaresystemtechnik; Eric Boerwinkle, The University of Texas Health Science Center at Houston
11:35 AM
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