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Article

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

Journal of the American Medical Informatics Association : JAMIA - 13 Apr 2022

Liu Xiaokang, Chubak Jessica, Hubbard Rebecca A, Chen Yong

Abstract excerpt

OBJECTIVES: Electronic health records (EHRs) enable investigation of the association between phenotypes and risk factors. However, studies solely relying on potentially error-prone EHR-derived phenotypes (ie, surrogates) are subject to bias. Analyses of low prevalence phenotypes may also suffer from poor efficiency. Existing methods typically focus on one of these issues but seldom address both. This study aims...

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PMID: 34962283
DOI: 10.1093/jamia/ocab267
PMCID: PMC9714591

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