A Principled Approach to Characterize and Analyze Partially Observed Confounder Data from Electronic Health Records

Janick Weberpals,1 Sudha R Raman,2 Pamela A Shaw,3 Hana Lee,4 Massimiliano Russo,1 Bradley G Hammill,2 Sengwee Toh,5 John G Connolly,5 Kimberly J Dandreo,6 Fang Tian,7 Wei Liu,7 Jie Li,7 José J Hernández-Muñoz,7 Robert J Glynn,1 Rishi J Desai1 1Division of Pharmacoepidemiology and Pharmacoeconomics,...

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書誌詳細

主要な著者:	Weberpals J, Raman SR, Shaw PA, Lee H, Russo M, Hammill BG, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ
フォーマット:	Artigo
言語:	Inglês
出版事項:	Dove Medical Press 2024-05-01
シリーズ:	Clinical Epidemiology
主題:	electronic health records missing data diagnostics imputation analytics
オンライン･アクセス:	https://www.dovepress.com/a-principled-approach-to-characterize-and-analyze-partially-observed-c-peer-reviewed-fulltext-article-CLEP
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