Evaluating the impact of discordant and missing demographic information on population health assessments using linked electronic health records and Census Bureau microdata.
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| Title: | Evaluating the impact of discordant and missing demographic information on population health assessments using linked electronic health records and Census Bureau microdata. |
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| Authors: | Ouyang D; Stanford Law School, Stanford, California, United States of America., Limburg A; U.S. Census Bureau, Suitland, Maryland, United States of America., Rehkopf DH; School of Medicine, Stanford University, Stanford, California, United States of America., Goldin J; University of Chicago Law School, Chicago, Illinois, United States of America.; American Bar Foundation, Chicago, Illinois, United States of America., Phillips RL; American Board of Family Medicine, Lexington, Kentucky, United States of America., Udalova V; U.S. Census Bureau, Suitland, Maryland, United States of America., Ho DE; Stanford Law School, Stanford, California, United States of America.; Department of Computer Science, Stanford University, Stanford, California, United States of America.; Department of Political Science, Stanford University, Stanford, California, United States of America. |
| Source: | PLOS digital health [PLOS Digit Health] 2026 Mar 17; Vol. 5 (3), pp. e0001289. Date of Electronic Publication: 2026 Mar 17 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2767-3170 |
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| DOI: | 10.1371/journal.pdig.0001289 |
