activity
20202022
collaborators

5 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.AP2021

Nutritional blood concentration biomarkers in the Hispanic Community Health Study/Study of Latinos: Measurement characteristics and power

Lillian A. Boe, Yasmin Mossavar-Rahmani, Daniela Sotres-Alvarez +5

Measurement error is a major issue in self-reported diet that can distort diet-disease relationships. Use of blood concentration biomarkers has the potential to mitigate the subjec…

stat.ME2021

An Augmented Likelihood Approach for the Discrete Proportional Hazards Model Using Auxiliary and Validated Outcome Data -- with Application to the HCHS/SOL Study

Lillian A. Boe, Pamela A. Shaw

In large epidemiologic studies, it is typical for an inexpensive, non-invasive procedure to be used to record disease status during regular follow-up visits, with less frequent ass…

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…