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
Keyword Search Criteria: propensity returned 53 record(s)
|
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
|
Aggregate Propensity Matching in Market Research
Kurt Pflughoeft, MaritzCX; Sharon Alberg, MaritzCX; Kurt Salmela, MaritzCX; Greg Blevins, MaritzCX
10:05 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
|
Bayesian Decision Theory for Further Optimizing the Use of Administrative Records in the Census NRFU
Yves Thibaudeau, U.S. Census Bureau; Darcy S. Morris, U.S. Census Bureau
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
|
Design of Sample Surveys That Complement Observational Data to Achieve Population Coverage
Eric Slud, U.S. Census Bureau; Robert Ashmead, U.S. Census Bureau
11:20 AM
|
A Case Study in Machine Learning Approaches to Survey Nonresponse Adjustments
Minsun Riddles, Westat; Bob Fay, Westat; David McGrath, Defense Manpower Data Center; Eric Falk, Defense Manpower Data Center
11:55 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
|
Response Propensity and Motivated Under-Reporting: Do Persons Likely to Respond Give Better Answers to Filter and Eligibility Questions?
Jessica Wengrzik, GESIS; Stephanie Eckman, RTI International ; Ruben Bach, Institute for Employment Research
9:35 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
|
Data Fusion for Accurate State-Level Diabetes and Prediabetes Prevalence Estimation
David A. Marker, Westat; Jianzhu Li, Westat; Russ Mardon, Westat; Luke B. Smith, Westat; Deborah Rolka, CDC; Sharon H. Saydah, CDC; Frank Jenkins, Westat; Elizabeth Petraglia, Westat
10:50 AM
|
Evaluating the Effects of Using Top-Coded Consumer Expenditure Data on Economic Models
Daniel Yang, Bureau of Labor Statistics; Daniell Toth, Bureau of Labor Statistics
10:55 AM
|
How to Control for Unmeasured Confounding in an Observational Time-to-Event Study with Exposure Incidence Information: The Treatment Choice Cox Model
James Troendle, National Institutes of Health; Zhiwei Zhang, FDA/CDRH; Eric Leifer, National Heart, Lung, and Blood Institute; Song Yang, National Heart, Lung, and Blood Institute; Michael Sklar, University of Pennsylvania; Heather Jerry, Nebraska Department of Health and Human Services
11:35 AM
|
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
|
Weighting for Nonresponse in the Overseas Citizen Population Survey: The Effects of Sample Size and Adjustment Method on Accuracy of Estimates
Jonathan Mendelson, Fors Marsh Group; Pengyu Huang, Fors Marsh Group
11:50 AM
|
|
|