Two-sample test for correlated data under outcome-dependent sampling with an application to self-reported weight loss data.

Cai, Yi; Huang, Jing; Ning, Jing; Lee, Mei-Ling Ting; Rosner, Bernard; Chen, Yong

Cai, Yi; Huang, Jing; Ning, Jing; Lee, Mei-Ling Ting; Rosner, Bernard; Chen, Yong.

Afiliação

Cai Y; AT&T Services, Inc, Plano, Texas.
Huang J; Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania.
Ning J; Department of Statistical Science, Cornell University, Ithaca, New York.
Lee MT; Department of Epidemiology and Biostatistics, The University of Maryland School of Public Health, College Park, Maryland.
Rosner B; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts.
Chen Y; Channing Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.

Stat Med ; 38(25): 4999-5009, 2019 11 10.

Article em En | MEDLINE | ID: mdl-31489699

Assuntos

Biometria/métodos; Autorrelato; Redução de Peso; Análise por Conglomerados; Simulação por Computador; Humanos; Internet; Estudos Longitudinais

Palavras-chave

U-statistics; correlated data; outcome-dependent sampling; pseudolikelihood; two-sample test

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redução de Peso / Biometria / Autorrelato Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2019 Tipo de documento: Article

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