SAT: a Surrogate-Assisted Two-wave case boosting sampling method, with application to EHR-based association studies.

The proposed approach can handle the problem brought by the rarity of cases and misclassification of the surrogate in phenotype-absent EHR-based association studies. With a well-behaved surrogate, SAT successfully boosts the case prevalence in the subsample and improves the efficiency of estimation.