首页 | 本学科首页   官方微博 | 高级检索  
     


Imputing Missing Race/Ethnicity in Pediatric Electronic Health Records: Reducing Bias with Use of U.S. Census Location and Surname Data
Authors:Robert W Grundmeier  Lihai Song  Mark J Ramos  Alexander G Fiks  Marc N Elliott  Allen Fremont  Wilson Pace  Richard C Wasserman  Russell Localio
Affiliation:1. The Children's Hospital of Philadelphia, Philadelphia, PA;2. RAND Corporation, Santa Monica, CA;3. DARTNet Institute, University of Colorado Denver, Aurora, CO;4. University of Vermont, Burlington, VT;5. Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
Abstract:ObjectiveTo assess the utility of imputing race/ethnicity using U.S. Census race/ethnicity, residential address, and surname information compared to standard missing data methods in a pediatric cohort.ConclusionsThe new method reduces bias when race/ethnicity is partially, nonrandomly missing.
Keywords:Multiple imputation   U.S. Census location and surname data   race and ethnicity   health disparities
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号