42 citations · 68 across the 16 of their papers we have counts for
Showing 2019 · stat.MEShow all
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stat.ME2019
Combining multiple imputation with raking of weights: An efficient and robust approach in the setting of nearly-true models
Kyunghee Han, Pamela A. Shaw, Thomas Lumley
Multiple imputation provides us with efficient estimators in model-based methods for handling missing data under the true model. It is also well-understood that design-based estima…
stat.ME2019
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.…