PCA-based extreme sampling on the first principal component of multiple error-prone exposures yields simultaneous efficiency improvements across models in two-phase validation, demonstrated via simulations and NHANES application.
Measuring the quality of observational study data in an international HIV research network.PloS One.2012;7(4):e33908
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Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases
PCA-based extreme sampling on the first principal component of multiple error-prone exposures yields simultaneous efficiency improvements across models in two-phase validation, demonstrated via simulations and NHANES application.