Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: Observational Studies returned 15 record(s)
|
|
Tuesday, 08/01/2017
|
Immortal Time Bias in Observational Studies of Time-To-Event Outcomes: Assessing Effects of Post-Mastectomy Radiation Therapy Using National Cancer DataBase (NCDB) Study
Parul Agarwal, Icahn School of Medicine at Mount Sinai; Erin Moshier, Icahn School of Medicine at Mount Sinai; Meng Ru, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
|
Optimal Tradeoffs in Matched Designs for Observational Studies
Samuel Pimentel, Wharton; Rachel R. Kelz, University of Pennsylvania
|
Contextualizing Sensitivity Analysis in Observational Studies: Calculating Bias Factors for Known Covariates
Lucy D'Agostino McGowan; Robert A Greevy, Jr, Vanderbilt University
|
A Gaussian Process Approach for Estimating Treatment Assignment Mechanisms
Brian Vegetabile, University of California, Irvine; Hal Stern, University of California, Irvine
|
Adjusting for Misclassification in Observational Studies: Getting from Cleaner to Messier Scenarios
Tanja Högg, University of British Columbia; Paul Gustafson, University of British Columbia; Yinshan Zhao, BC Center for Improved Cardiovasular Health ; John Petkau, University of British Columbia; Helen Tremlett, University of British Columbia
8:35 AM
|
Immortal Time Bias in Observational Studies of Time-To-Event Outcomes: Assessing Effects of Post-Mastectomy Radiation Therapy Using National Cancer DataBase (NCDB) Study
Parul Agarwal, Icahn School of Medicine at Mount Sinai; Erin Moshier, Icahn School of Medicine at Mount Sinai; Meng Ru, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
8:40 AM
|
Optimal Tradeoffs in Matched Designs for Observational Studies
Samuel Pimentel, Wharton; Rachel R. Kelz, University of Pennsylvania
9:15 AM
|
Recovering Causal Effects from an Experimental Benchmark Using Multilevel Matching
Luke Keele, Georgetown University; Samuel Pimentel, Wharton
9:25 AM
|
Contextualizing Sensitivity Analysis in Observational Studies: Calculating Bias Factors for Known Covariates
Lucy D'Agostino McGowan; Robert A Greevy, Jr, Vanderbilt University
9:50 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
|
|
Wednesday, 08/02/2017
|
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
|
On Sensitivity Value of Pair-Matched Observational Studies
Qingyuan Zhao, University of Pennsylvania
2:20 PM
|
|
|
