4 citations · 4 across the 2 of their papers we have counts for
5 papers
Improved Generalized Raking Estimators to Address Dependent Covariate and Failure-Time Outcome Error
Eric J. Oh, Bryan E. Shepherd, Thomas Lumley +1
Biomedical studies that use electronic health records (EHR) data for inference are often subject to bias due to measurement error. The measurement error present in EHR data is typi…
Two-phase analysis and study design for survival models with error-prone exposures
Kyunghee Han, Thomas Lumley, Bryan E. Shepherd +1
Increasingly, medical research is dependent on data collected for non-research purposes, such as electronic health records data (EHR). EHR data and other large databases can be pro…
Raking and Regression Calibration: Methods to Address Bias from Correlated Covariate and Time-to-Event Error
Eric J. Oh, Bryan E. Shepherd, Thomas Lumley +1
Medical studies that depend on electronic health records (EHR) data are often subject to measurement error, as the data are not collected to support research questions under study.…
Regression calibration to correct correlated errors in outcome and exposure
Pamela Shaw, Jiwei He, Bryan Shepherd
Measurement error arises through a variety of mechanisms. A rich literature exists on the bias introduced by covariate measurement error and on methods of analysis to address this…
Post-randomization Biomarker Effect Modification in an HIV Vaccine Clinical Trial
Peter B. Gilbert, Bryan S. Blette, Bryan E. Shepherd +1
While the HVTN 505 trial showed no overall efficacy of the tested vaccine to prevent HIV infection over placebo, previous studies, biological theories, and the finding that immune…