Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification

Health research using electronic health records (EHR) has gained popularity, but misclassification of EHR‐derived disease status and lack of representativeness of the study sample can result in substantial bias in effect estimates and can impact power and type I error. In this paper, we develop new...

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