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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

Keyword Search Criteria: propensity score returned 44 record(s)
Sunday, 07/31/2016
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

Maximizing the Information Content of a Balanced Matched Sample
Jose Zubizarreta, Columbia University; Cinar Kilcioglu, Columbia University
4:05 PM

Propensity Score Calipers and the Overlap Condition
Ben Hansen, University of Michigan
5:05 PM

Monday, 08/01/2016
Confounder Adjustments by Propensity Score and Disease Risk Score in the Early Stage of Post-Marketing Drug Safety Surveillance
Tae Hyun Jung, Yale University; Jessica Kim , FDA


Causal Inference with a Continuous Treatment and Outcome: Alternative Estimators for Parametric Dose-Response Functions
Douglas Galagate


Using Propensity Scores to Inform Respondent Incentive Escalation
Kate Bachtell, NORC at the University of Chicago; Catherine C. Haggerty, NORC at the University of Chicago; Shannon Nelson, NORC at the University of Chicago; Steven Pedlow, NORC at the University of Chicago; Katherine Archambeau, NORC at the University of Chicago; Kevin Moore, Board of Governors of the Federal Reserve System; Joanne Hsu, Board of Governors of the Federal Reserve System
8:35 AM

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

Causal Inference with a Continuous Treatment and Outcome: Alternative Estimators for Parametric Dose-Response Functions
Douglas Galagate
11:05 AM

A Method of Statistical Disclosure Limitation for Design and Strata-Defining Variables in Surveys
Anna Oganian, CDC/NCHS
2:05 PM

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

Spatial Confounding Adjustment with Propensity Score Matching
Georgia Papadogeorgou, Harvard T.H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health
2:45 PM

Tuesday, 08/02/2016
Bayesian Propensity Score Analysis for Observational Multilevel Studies
Qi Zhou; Joon Jin Song, Baylor University; Catherine J. McNeal, Baylor Scott & White Health; Laurel A. Copeland, Baylor Scott & White Health; Justin Philip Zachariah, Texas Children's Hospital/Baylor College of Medicine


Bayesian Causal Inference Analyses with Unmeasured Confounders
Negar Jaberansari, University of Cincinnati; Bin Huang, Cincinnati Children's Hospital Medical Center


Propensity Score Methods for Multiple and Multi-Valued Treatments and Their Interactions
Zirui Gu, Virginia Commonwealth University; Bassam A. Dahman, Virginia Commonwealth University


Basic Versus Advanced Life Support Ambulances for Out-of-Hospital Medical Emergencies
Prachi Sanghavi, The University of Chicago; Anupam B. Jena, Harvard Medical School; Joseph P. Newhouse, Harvard; Alan M. Zaslavsky, Harvard Medical School


Matching Estimators for Causal Effects with Multiple Treatments
Anthony Scotina; Roee Gutman, Brown University


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


Controlling for Confounders in a Parkinson's Disease Study
Ruosha Li, The University of Texas Health Science Center at Houston


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

Matching Estimators for Causal Effects with Multiple Treatments
Anthony Scotina; Roee Gutman, Brown University
8:45 AM

A Propensity Score Approach in a Study of WIC Families
Shankang Qu, PepsiCo; Alissa Wilson, PepsiCo
8:50 AM

Basic Versus Advanced Life Support Ambulances for Out-of-Hospital Medical Emergencies
Prachi Sanghavi, The University of Chicago; Anupam B. Jena, Harvard Medical School; Joseph P. Newhouse, Harvard; Alan M. Zaslavsky, Harvard Medical School
9:20 AM

Controlling for Confounders in a Parkinson's Disease Study
Ruosha Li, The University of Texas Health Science Center at Houston
12:10 PM

Wednesday, 08/03/2016
Using official surveys to reduce bias of estimates from nonrandom samples collected by web surveys
Vladislav Beresovsky, CDC/NCHS; Alan Dorfman, CDC/NCHS; Pavlina Rumcheva, CDC/NCHS


Estimating Interviewer Effects in the Absence of Interpenetration
Michael Elliott, University of Michigan; Brady West, University of Michigan
8:35 AM

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

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

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

Using official surveys to reduce bias of estimates from nonrandom samples collected by web surveys
Vladislav Beresovsky, CDC/NCHS; Alan Dorfman, CDC/NCHS; Pavlina Rumcheva, CDC/NCHS
9:05 AM

Causal Inference Methods in Traffic Safety Research
Fan Li, Duke University
9:25 AM

Covariate Balancing Propensity Score via Tailored Loss Function
Qingyuan Zhao, Stanford University; Trevor Hastie, Stanford University
11:05 AM

Propensity Score Approach for Multiple Treatment Options and Its Application in Cancer Outcome Research
Yuan Liu; Jeanne Kowalski, Emory University; Theresa Wicklin Gillespie, Emory University
11:20 AM

Using Observed Outcomes to Design High-Dimensional Propensity Scores
Lo-Hua Yuan, Harvard; Luke Miratrix, Harvard University; Donald B. Rubin, Harvard
11:35 AM

Prognostic Score Weighting and Nonparametric Weighting via Bagged One-to-One Matching
Robert Greevy, Vanderbilt University; Lauren Samuels, Vanderbilt University
12:05 PM

Propensity Score Matching Using Random Forest in Educational Data Mining Problems
Richard Levine, San Diego State University
2:05 PM

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

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

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

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

A Calibrated Bayesian Method for Propensity Score Estimation
Hejian Sang, Iowa State University; Jae-kwang Kim, Iowa State University
3:35 PM

Thursday, 08/04/2016
Covariate-Adjusted ROC Analysis Using Covariate Balancing Propensity Score
Seungbong Han, Gachon University
11:35 AM

A Case Study on the Use of Propensity Score Adjustments with Web Survey Data
Van Parsons, CDC/NCHS
11:35 AM

Quantification of Imbalances in Baseline Covariates in Observational Studies
Adin-Cristian Andrei, Northwestern University
11:50 AM

On Propensity Score Weighting Approaches to Observational Studies with Survival Outcome
Huzhang Mao; Liang Li, MD Anderson Cancer Center
11:50 AM

 
 
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