Janick Weberpals, Sudha Raman, Pamela A. Shaw, Hana Lee, Massimiliano Russo, Bradley G. Hammill, S. Toh, John G. Connolly, Kimberly Dandreo, Fang Tian, Wei Liu, Jie Li, José J. Hernández-Muñoz, Robert J. Glynn, R. Desai
{"title":"A Principled Approach to Characterize and Analyze Partially Observed Confounder Data from Electronic Health Records","authors":"Janick Weberpals, Sudha Raman, Pamela A. Shaw, Hana Lee, Massimiliano Russo, Bradley G. Hammill, S. Toh, John G. Connolly, Kimberly Dandreo, Fang Tian, Wei Liu, Jie Li, José J. Hernández-Muñoz, Robert J. Glynn, R. Desai","doi":"10.2147/clep.s436131","DOIUrl":null,"url":null,"abstract":"Objective: Partially observed confounder data pose challenges to the statistical analysis of electronic health records (EHR) and systematic assessments of potentially underlying missingness mechanisms are lacking. We aimed to provide a principled approach to empirically characterize missing data processes and investigate performance of analytic methods","PeriodicalId":503946,"journal":{"name":"Clinical Epidemiology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2147/clep.s436131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Objective: Partially observed confounder data pose challenges to the statistical analysis of electronic health records (EHR) and systematic assessments of potentially underlying missingness mechanisms are lacking. We aimed to provide a principled approach to empirically characterize missing data processes and investigate performance of analytic methods
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
