Bayesian semiparametric joint modeling of longitudinal explanatory variables of mixed types and a binary outcome.

Lim, Woobeen; Pennell, Michael L; Naughton, Michelle J; Paskett, Electra D

Lim, Woobeen; Pennell, Michael L; Naughton, Michelle J; Paskett, Electra D.

Afiliação

Lim W; Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, USA.
Pennell ML; Division of Biostatistics, College of Public Health, The Ohio State University, Columbus, Ohio, USA.
Naughton MJ; Division of Cancer Prevention and Control, Department of Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.
Paskett ED; Division of Cancer Prevention and Control, Department of Internal Medicine, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA.

Stat Med ; 41(1): 17-36, 2022 01 15.

Article em En | MEDLINE | ID: mdl-34658053

Assuntos

Modelos Estatísticos; Teorema de Bayes; Simulação por Computador; Feminino; Humanos; Estudos Longitudinais; Estudos Prospectivos

Palavras-chave

Dirichlet process; cancer survivorship; imputation; insomnia; joint models

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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