Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with Covid-19.

Keogh, Ruth H; Diaz-Ordaz, Karla; Jewell, Nicholas P; Semple, Malcolm G; de Wreede, Liesbeth C; Putter, Hein

Keogh, Ruth H; Diaz-Ordaz, Karla; Jewell, Nicholas P; Semple, Malcolm G; de Wreede, Liesbeth C; Putter, Hein.

Afiliação

Keogh RH; Department of Medical Statistics and Centre for Statistical Methodology, London School of Hygiene and Tropical Medicine, London, UK. ruth.keogh@lshtm.ac.uk.
Diaz-Ordaz K; Department of Medical Statistics and Centre for Statistical Methodology, London School of Hygiene and Tropical Medicine, London, UK.
Jewell NP; Department of Medical Statistics and Centre for Statistical Methodology, London School of Hygiene and Tropical Medicine, London, UK.
Semple MG; NIHR Health Protection Research Unit, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
de Wreede LC; Leiden University Medical Center, Leiden, Netherlands.
Putter H; Leiden University Medical Center, Leiden, Netherlands.

Lifetime Data Anal ; 29(2): 288-317, 2023 04.

Article em En | MEDLINE | ID: mdl-36754952

Assuntos

COVID-19; Tempo de Internação; Humanos; Unidades de Terapia Intensiva; Masculino; Feminino; Simulação por Computador

Palavras-chave

Covid-19; Illness-death model; Length of stay; Multi-state model; State occupation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Limite: Female / Humans / Male Idioma: En Revista: Lifetime Data Anal Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

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