Article

Reducing Information and Selection Bias in EHR-Linked Biobanks via Genetics-Informed Multiple Imputation and Sample Weighting

2024-10-29

Abstract excerpt

<h4>ABSTRACT</h4> Electronic health records (EHRs) are valuable for public health and clinical research but are prone to many sources of bias, including missing data and non-probability selection. Missing data in EHRs is complex due to potential non-recording, fragmentation, or clinically informative absences. This study explores whether polygenic risk score (PRS)-informed multiple imputation for missing traits,...

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Literature Corpus work: fccbe544-8ec6-5a54-8579-d2593633b57f
DOI: 10.1101/2024.10.28.24316286

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