Optimal Surrogate-Assisted Sampling for Cost-Efficient Validation of Electronic Health Record Outcomes [0.03%]
低成本高效验证电子健康记录结果的最优代理辅助采样法
Arielle Marks-Anglin,Jianmin Chen,Chongliang Luo et al.
Arielle Marks-Anglin et al.
Electronic Health Record (EHR) databases are an increasingly valuable resource for observational studies. However, misclassification of EHR-derived outcomes due to imperfect phenotyping leads to bias, inflated type I error, and reduced powe...
SAT: a Surrogate-Assisted Two-wave case boosting sampling method, with application to EHR-based association studies [0.03%]
基于电子健康记录的关联研究中的代理辅助两波案例助推采样方法(SAT)
Xiaokang Liu,Jessica Chubak,Rebecca A Hubbard et al.
Xiaokang Liu et al.
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) ...