Phenotyping issues for exploring electronic health records to design clinical trials

被引：0
|
作者：
Schnall, Jill [1 ]
Zhang, LingJiao [1 ]
Chen, Jinbo [1 ]
机构：
[1] Univ Penn, Perelman Sch Med, Dept Biostat Epidemiol & Informat, Philadelphia, PA 19104 USA
来源：
CLINICAL TRIALS | 2020年 / 17卷 / 04期
基金：
美国国家卫生研究院;
关键词：
Electronic health records; phenotyping; anchor variable; case contamination;
D O I：
10.1177/1740774520931039
中图分类号：
R-3 [医学研究方法]; R3 [基础医学];
学科分类号：
1001 ;
摘要：
For utilizing electronic health records to help design and conduct clinical trials, an essential first step is to select eligible patients from electronic health records, that is, electronic health record phenotyping. We present two novel statistical methods that can be used in the context of electronic health record phenotyping. One mitigates the requirement for gold-standard control patients in developing phenotyping algorithms, and the other effectively corrects for bias in downstream analysis introduced by study samples contaminated by ineligible subjects.
引用
收藏
页码：402 / 404
页数：3
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