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Data Quality in Electronic Health Record Research: An Approach for Validation and Quantitative Bias Analysis for Imperfectly Ascertained Health Outcomes Via Diagnostic Codes.
Goldstein, Neal D; Kahal, Deborah; Testa, Karla; Gracely, Ed J; Burstyn, Igor.
Afiliação
  • Goldstein ND; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America.
  • Kahal D; William J. Holloway Community Program, ChristianaCare, Wilmington, Delaware, United States of America; Sydney Kimmel College of Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America.
  • Testa K; Sydney Kimmel College of Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, United States of America; Westside Family Healthcare, Wilmington, Delaware, United States of America.
  • Gracely EJ; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America; Department of Family, Community, and Preventive Medicine, College of Medicine, Drexel University, Philadelphia, Pennsylvania, United States of Amer
  • Burstyn I; Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States of America; Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, United States
Harv Data Sci Rev ; 4(2)2022.
Article em En | MEDLINE | ID: mdl-36324333
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article