16 citations · 24 across the 9 of their papers we have counts for
6 papers · 1 filter
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…
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…
Three-phase generalized raking and multiple imputation estimators to address error-prone data
Gustavo Amorim, Ran Tao, Sarah Lotspeich +4
Validation studies are often used to obtain more reliable information in settings with error-prone data. Validated data on a subsample of subjects can be used together with error-p…
Sensitivity Analysis for Binary Outcome Misclassification in Randomization Tests via Integer Programming
Siyu Heng, Pamela A. Shaw
Conducting a randomization test is a common method for testing causal null hypotheses in randomized experiments. The popularity of randomization tests is largely because their stat…
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…
Optimal Multi-Wave Validation of Secondary Use Data with Outcome and Exposure Misclassification
Sarah C. Lotspeich, Gustavo G. C. Amorim, Pamela A. Shaw +2
The growing availability of observational databases like electronic health records (EHR) provides unprecedented opportunities for secondary use of such data in biomedical research.…