Multiwave validation sampling for error-prone electronic health records.

ABSTRACT: Electronic health record (EHR) data are increasingly used for biomedical research, but these data have recognized data quality challenges. Data validation is necessary to use EHR data with confidence, but limited resources typically make complete data validation impossible. Using EHR data, we illustrate prospective, multiwave, two-phase validation sampling to estimate the association between maternal weight gain during pregnancy and the risks of her child developing obesity or asthma. The optimal validation sampling design depends on the unknown efficient influence functions of regression coefficients of interest. In the first wave of our multiwave validation design, we estimate the influence function using the unvalidated (phase 1) data to determine our validation sample; then in subseque

SUBMITTER: Shepherd BE 

PROVIDER: S-EPMC10525037 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature