Literature DB >> 26205431

Improving Disparity Research by Imputing Missing Data in Health Care Records.

William Rhodes.   

Abstract

Mesh：

Year:  2015        PMID： 26205431      PMCID： PMC4545340          DOI： 10.1111/1475-6773.12336

Source DB:  PubMed          Journal:  Health Serv Res        ISSN： 0017-9124            Impact factor:   3.402


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  3 in total

1.  A new method for estimating race/ethnicity and associated disparities where administrative records lack self-reported race/ethnicity.

Authors:  Marc N Elliott; Allen Fremont; Peter A Morrison; Philip Pantoja; Nicole Lurie
Journal:  Health Serv Res       Date:  2008-05-12       Impact factor: 3.402

2.  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
Journal:  Health Serv Res       Date:  2015-03-11       Impact factor: 3.402

Review 3.  Use of geocoding and surname analysis to estimate race and ethnicity.

Authors:  Kevin Fiscella; Allen M Fremont
Journal:  Health Serv Res       Date:  2006-08       Impact factor: 3.402
  3 in total
  1 in total

Review 1.  Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council.

Authors:  Partho P Sengupta; Sirish Shrestha; Béatrice Berthon; Emmanuel Messas; Erwan Donal; Geoffrey H Tison; James K Min; Jan D'hooge; Jens-Uwe Voigt; Joel Dudley; Johan W Verjans; Khader Shameer; Kipp Johnson; Lasse Lovstakken; Mahdi Tabassian; Marco Piccirilli; Mathieu Pernot; Naveena Yanamala; Nicolas Duchateau; Nobuyuki Kagiyama; Olivier Bernard; Piotr Slomka; Rahul Deo; Rima Arnaout
Journal:  JACC Cardiovasc Imaging       Date:  2020-09
  1 in total

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