JSM 2015 Preliminary Program

Online Program Home
My Program

Abstract Details

Activity Number: 477
Type: Topic Contributed
Date/Time: Wednesday, August 12, 2015 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract #315947 View Presentation
Title: Methods to Estimate Causal Effects with Propensity Scores When Both Treatment and Covariates Are Mismeasured
Author(s): Danielle Braun* and Malka Gorfine and Giovanni Parmigiani and Francesca Dominici and Corwin Zigler
Companies: Harvard School of Public Health and Technion-Israel Institute of Technology and Harvard University and Harvard School of Public Health and Harvard School of Public Health
Keywords: Measurement Error ; Causal Inference ; Comparative Effectiveness Research ; Propensity Score ; Observational Data ; Validation Data
Abstract:

Propensity score methods are widely used to analyze observational studies in which patient characteristics might not be balanced by treatment group. These methods assume that both treatment assignment and confounders, are error-free, but in reality these variables can be subject to measurement error. This arises in the context of comparative effectiveness research, using observational administrative claims data in which accurate information is not always available. When using propensity score based methods, this error affects both the treatment assignment variable directly, as well as the propensity score. We extend previous work adjusting for error in the treatment assignment variable only, to this setting in which both treatment assignment and confounders are subject to measurement error. We propose a multiple imputation approach using validation data to adjust for the measurement error.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2015 program





For program information, contact the JSM Registration Department or phone (888) 231-3473.

For Professional Development information, contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

2015 JSM Online Program Home