Generalized linear mixed hidden semi-Markov models in longitudinal settings: A Bayesian approach.

Haji-Maghsoudi, Saiedeh; Bulla, Jan; Sadeghifar, Majid; Roshanaei, Ghodratollah; Mahjub, Hossein

Haji-Maghsoudi, Saiedeh; Bulla, Jan; Sadeghifar, Majid; Roshanaei, Ghodratollah; Mahjub, Hossein.

Afiliação

Haji-Maghsoudi S; Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Bulla J; Department of Mathematics, University of Bergen, Bergen, Norway.
Sadeghifar M; Department of Psychiatry and Psychotherapy, University Regensburg, Regensburg, Germany.
Roshanaei G; Department of Statistics, Faculty of Basic Sciences, Bu-Ali Sina University, Hamadan, Iran.
Mahjub H; Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.

Stat Med ; 40(10): 2373-2388, 2021 05 10.

Article em En | MEDLINE | ID: mdl-33588516

Assuntos

Teorema de Bayes; Humanos; Modelos Lineares; Estudos Longitudinais; Cadeias de Markov; Método de Monte Carlo

Palavras-chave

Bayesian estimation; Monte Carlo Newton-Raphson; generalized linear models; hidden Markov models; hidden semi-Markov models

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Teorema de Bayes Tipo de estudo: Health_economic_evaluation / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stat Med Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irã

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