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Keyword Search Criteria: Propensity score returned 41 record(s)
Sunday, 07/30/2017
An Evaluation of Bias in Propensity Score Adjusted Nonlinear Regression Models
Fei Wan, University of Arkansas for Medical Sciences; Nandita Mitra, University of Pennslyvania
4:05 PM

Matching Estimators for Causal Effects of Multiple Treatments
Anthony Scotina, Brown University; Roee Gutman, Brown University
4:35 PM

Empirical Likelihood Estimator of Causal Effect under Subclassification
Junvie Pailden, Southern Illinois University Edwardsville
4:35 PM

ESTIMATION of AVERAGE TREATMENT EFFECTS AMONG MULTIPLE TREATMENT GROUPS by USING ADAPTIVE ENSEMBLE METHOD
Maiying Kong, University of Louisville
5:05 PM

Drug Safety and Comparative Effectiveness at Massive Scale
Yuxi Tian, David Geffen School of Medicine At UCLA; Marc A. Suchard, University of California, Los Angeles; Martijn Schuemie, Janssen Research and Development
5:05 PM

Monday, 07/31/2017
Estimating Average Treatment Effects with a Response-Informed Calibrated Propensity Score
David Cheng, Harvard T.H. Chan School of Public Health; Abhishek Chakrabortty, University of Pennsylvania; Ashwin N. Ananthakrishnan, Massachusetts General Hospital; Tianxi Cai, Harvard University
8:35 AM

High-Dimensional Propensity Score via Covariate Balancing
Yang Ning, Cornell University; Sida Peng, Cornell University ; Kosuke Imai, Princeton University
10:35 AM

Photometric Classification of Supernova with Biased Training Set
David Van Dyk, Imperial College London; Roberto Trotta, Imperial College London; Esben Revsbech, Imperial College London
10:35 AM

Sending Analysis to the Data: Optimizing Information Exchange in the Learning Health Care System
Darren Toh, Harvard Medical School and Harvard Pilgrim Health Care Institute
11:00 AM

Diagnosing the Diagnostic: a Simulation Study of the Omnibus Test for Covariate Balance
Lauren Vollmer, Mathematica Policy Research
11:05 AM

Average Causal Effect Estimation Allowing Covariate Measurement Error - Method Review
Zhou Feng; Elande Baro, FDA; Yi Huang, UMBC
2:05 PM

Robust Estimation of Weighted Average Treatment Effects for a Target Population
Yebin Tao, Eli Lilly and Company; Haoda Fu
2:20 PM

Tuesday, 08/01/2017
Medicare Risk Adjustment with Systematically Missing Data
Savannah Bergquist, Harvard University; Tim Layton, Harvard Medical School; Thomas G. McGuire, Harvard Medical School; Sherri Rose, Harvard Medical School


Effects of Link Misspecification in Propensity Score Weighting Adjustment
Samantha Spiers, LSUHSC School of Public Health, Biostatistics Program; Evrim Oral, LSUHSC School of Public Health


Propensity Score Methods for Analysis Time-To-Event Data
Haiying Lin


Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis
Shirley Liao; Corwin Zigler, Harvard University


Subgroup Analyzes with Survival Data in Retrospective Cohort Studies
Rima Izem, Food and Drug Administration; Jiemin Lao, Sphere Institute; Mao Hu, Acumen LLC; Yuqin Wei, Sphere Institute; Michael Wernecke, Acumen LLC; Jeffrey A Kelman, Centers for Medicaid and Medicare Services (CMS); David J Graham, Food and Drug Administration


A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine


Bayesian sparse propensity score estimation for unit nonresponse
Hejian Sang, Iowa State University; Jae-kwang Kim, Iowa State University; Gyuhyeong Goh, Kansas State University
9:20 AM

A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
9:55 AM

Subgroup Analyzes with Survival Data in Retrospective Cohort Studies
Rima Izem, Food and Drug Administration; Jiemin Lao, Sphere Institute; Mao Hu, Acumen LLC; Yuqin Wei, Sphere Institute; Michael Wernecke, Acumen LLC; Jeffrey A Kelman, Centers for Medicaid and Medicare Services (CMS); David J Graham, Food and Drug Administration
10:50 AM

Propensity Score Methods for Analysis Time-To-Event Data
Haiying Lin
11:00 AM

Propensity-Score-Based Priors for Bayesian Augmented Control Design
Junjing Lin, AbbVie ; Margaret Gamalo-Siebers, Eli Lilly; Ram Tiwari, FDA/CDER/OT/OB
11:15 AM

Analysis of Clustered Complex Design Data: Propensity Score Matching
Mi-Ok Kim, UCSF
11:25 AM

A Comparison of Propensity Score Design and Test Negative Case-Control Study Outcomes for Rotavirus Vaccine Effectiveness
Elizabeth Zell; Michelle Groome, RMPRU
11:35 AM

Marginalization Over Uncertainty in Propensity Score Design Using Bayesian Analysis
Shirley Liao; Corwin Zigler, Harvard University
11:50 AM

Machine Learning Methods to Improve Causal Inference
Elizabeth Stuart, Johns Hopkins University
2:05 PM

Readmission Time Analysis for Psychiatry Patients Based on a Chi-Squared Goodness of Fit Test for Recurrent Events
Qing Li, The University of Iowa; Gideon Zamba, University of Iowa
2:05 PM

A Bayesian Approach to Misclassified Binary Response: Female Employment and Intimate Partner Violence in Urban India
Joon Jin Song, Baylor University; Yoo-Mi Chin, Baylor University; James Stamey, Baylor University
3:20 PM

Wednesday, 08/02/2017
Analysis of Familial Aggregation with Complex Survey Data
Cong Wang, George Washington University; Zhaohai Li, George Washington University; Barry I. Graubard, National Cancer Institute


Imputation Classes as a Framework for Inferences From Non-random Samples
Vladislav Beresovsky, National Center for Health Statistics


Imputation Classes as a Framework for Inferences From Non-random Samples
Vladislav Beresovsky, National Center for Health Statistics
9:45 AM

Analysis of Familial Aggregation with Complex Survey Data
Cong Wang, George Washington University; Zhaohai Li, George Washington University; Barry I. Graubard, National Cancer Institute
10:00 AM

Combination of Multiplicative Noise and Conditional Group Swapping to Protect Sensitive Survey Data from Disclosure
Anna Oganian, National Center for Health Statistics
10:50 AM

Penalized Spline of Propensity Methods for Treatment Comparisons
Roderick J Little, University of Michigan; Tingting Zhou, University of Michigan; Michael R. Elliott, University of Michigan
2:05 PM

Proposed Guidelines for Interim Monitoring of Prospective Observational Studies Planning to Invoke Propensity-Scoring as the Primary Analysis
Michael Swartz, The University of Texas Health Science Center At Houston, School of Public Health; Thomas Jay Greene, The University of Texas Health Science Center at Houston, School of Public Health; Erin E Fox, The University of Texas Health Science Center, Center for Translational Injury Research; Savitri N. Appana, The University of Texas Health Science Center at Houston; Misung Yi, The University of Texas Health Science Center at Houston, School of Public Health; Soeun Kim, The University of Texas Health Science Center at Houston, School of Public Health; Elysia A. Garcia, The University of Texas Health Science Center at Houston, School of Public Health; Jada M. Johnson, The University of Texas Health Science Center at Houston, School of Public Health; Jeanette Podbielski, The University of Texas Health Science Center, Center for Translational Injury Research; Jeffrey S. Tomasek, The University of Texas Health Science Center, Center for Translational Injury Research; Charles E. Wade, The University of Texas Health Science Center, Center for Translational Injury Research; John B. Holcomb, The University of Texas Health Science Center at Houston; Stacia M DeSantis, UTHealth SPH
2:05 PM

Evaluating Treatment Effectiveness from Nationwide Population-Based Clinical Databases
Chen-Hsin Chen, Academia Sinica (Institute of Statistical Science); Y.-C. Tsay, Academia Sinica (Institute of Statistical Science); C.-W. Ou-Young, Academia Sinica (Institute of Statistical Science); M.-S. Lai, National Taiwan University (Institute of Epidemiology and Prevention Medicine)
2:50 PM

How Suited Is Propensity Score Matching for Combining Data from Different Sources?
Florian Meinfelder, Universitaet Bamberg
3:25 PM

Thursday, 08/03/2017
Covariate Adjustment Using Propensity Scores for Dependent Censoring Problems in the Accelerated Failure Time Model
Youngjoo Cho; Chen Hu, Johns Hopkins University; Debashis Ghosh, Colorado School of Public Health
9:20 AM

Blending of Probability and Convenience Samples as Applied to a Survey of Military Caregivers
Michael Robbins, RAND Corporation
9:20 AM

A Source-Oriented Approach to Coal Combustion PM2.5 Health Effects
Kevin Cummiskey, Department of Biostatistics, Harvard T.H. Chan School of Public Health; Chanmin Kim, Harvard University; Christine Choirat, Harvard University; Corwin Zigler, Harvard University
10:50 AM

 
 
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