Article

Bias reduction and inference for electronic health record data under selection and phenotype misclassification: three case studies

2020-12-23

Abstract excerpt

Electronic Health Records (EHR) are not designed for population-based research, but they provide access to longitudinal health information for many individuals. Many statistical methods have been proposed to account for selection bias, missing data, phenotyping errors, or other problems that arise in EHR data analysis. However, addressing multiple sources of bias simultaneously is challenging. Recently, we develop...

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Literature Corpus work: 7b876cae-65af-5ed0-9b1a-2bba10f291a5
DOI: 10.1101/2020.12.21.20248644

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