Integrating Misclassified EHR Outcomes with Validated Outcomes from a Non-probability Sample
整合误分类电子病历结局与非概率样本中的验证结局
Although increasingly used for research, electronic health records (EHR) often lack gold-standard assessment of key data elements. Linking EHRs to other data sources with higher-quality measurements can improve statistical inference, but such analyses must account for selection bias if the linked data source arises from a non-probability sample. We propose a set of novel estimators targeting the average treatment effect (ATE) that combine information from binary outcomes…