3 papers
stat.ME2022
Issues in Implementing Regression Calibration Analyses
Lillian Boe, Pamela A. Shaw, Douglas Midthune +5
Regression calibration is a popular approach for correcting biases in estimated regression parameters when exposure variables are measured with error. This approach involves buildi…
stat.ME2022
Practical considerations for sandwich variance estimation in two-stage regression settings
Lillian A. Boe, Thomas Lumley, Pamela A. Shaw
We present a practical approach for computing the sandwich variance estimator in two-stage regression model settings. As a motivating example for two-stage regression, we consider…
stat.ME2020
An Approximate Quasi-Likelihood Approach for Error-Prone Failure Time Outcomes and Exposures
Lillian A. Boe, Lesley F. Tinker, Pamela A. Shaw
Measurement error arises commonly in clinical research settings that rely on data from electronic health records or large observational cohorts. In particular, self-reported outcom…