Two-Phase, Generalized Case-Control Designs for the Study of Quantitative Longitudinal Outcomes.

Schildcrout, Jonathan S; Haneuse, Sebastien; Tao, Ran; Zelnick, Leila R; Schisterman, Enrique F; Garbett, Shawn P; Mercaldo, Nathaniel D; Rathouz, Paul J; Heagerty, Patrick J

Schildcrout, Jonathan S; Haneuse, Sebastien; Tao, Ran; Zelnick, Leila R; Schisterman, Enrique F; Garbett, Shawn P; Mercaldo, Nathaniel D; Rathouz, Paul J; Heagerty, Patrick J.

Afiliação

Schildcrout JS; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Haneuse S; Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Tao R; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Zelnick LR; Division of Nephrology, Department of Medicine, University of Washington, Seattle, Washington.
Schisterman EF; Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland.
Garbett SP; Department of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Mercaldo ND; Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
Rathouz PJ; Department of Population Health, Dell Medical School, University of Texas, Austin, Texas.
Heagerty PJ; Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington.

Am J Epidemiol ; 189(2): 81-90, 2020 02 28.

Article em En | MEDLINE | ID: mdl-31165875

Assuntos

Projetos de Pesquisa Epidemiológica; Modelos Estatísticos; Avaliação de Resultados em Cuidados de Saúde/métodos; Estudos de Casos e Controles; Humanos; Modelos Lineares; Estudos Longitudinais; Estudos de Amostragem

Palavras-chave

ascertainment-corrected likelihood; case-control studies; conditional likelihood; linear mixed models; longitudinal data; multiple imputation; outcome-dependent sampling; response-selective sampling

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa Epidemiológica / Modelos Estatísticos / Avaliação de Resultados em Cuidados de Saúde Tipo de estudo: Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Am J Epidemiol Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos

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