Statistical inference for association studies using electronic health records: handling both selecti...
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification
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Publisher
United States: Blackwell Publishing Ltd
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Language
English
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Publisher
United States: Blackwell Publishing Ltd
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Scope and Contents
Contents
Health research using electronic health records (EHR) has gained popularity, but misclassification of EHR‐derived disease status and lack of representativeness of the study sample can result in substantial bias in effect estimates and can impact power and type I error. In this paper, we develop new strategies for handling disease status misclassifi...
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Full title
Statistical inference for association studies using electronic health records: handling both selection bias and outcome misclassification
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TN_cdi_proquest_miscellaneous_2660977498
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2660977498
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ISSN
0006-341X
E-ISSN
1541-0420
DOI
10.1111/biom.13400
