Cox regression is robust to inaccurate EHR-extracted event time: an application to EHR-based GWAS.

doi:10.1093/bioinformatics/btac086

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Article

Cox regression is robust to inaccurate EHR-extracted event time: an application to EHR-based GWAS.

Bioinformatics (Oxford, England) - 12 Apr 2022

Irlmeier Rebecca, Hughey Jacob J, Bastarache Lisa, Denny Joshua C, Chen Qingxia

Abstract excerpt

MOTIVATION: Logistic regression models are used in genomic studies to analyze the genetic data linked to electronic health records (EHRs), and do not take full usage of the time-to-event information available in EHRs. Previous work has shown that Cox regression, which can account for left truncation and right censoring in EHRs, increased the power to detect genotype-phenotype associations compared to logistic...

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PMID: 35157022
DOI: 10.1093/bioinformatics/btac086
PMCID: PMC10060718

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