16 citations · 24 across the 9 of their papers we have counts for
4 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…