Joint modelling of time-to-clinical malaria and parasite count in a cohort in an endemic area.

Stanley, Christopher C; Kazembe, Lawrence N; Buchwald, Andrea G; Mukaka, Mavuto; Mathanga, Don P; Hudgens, Michael G; Laufer, Miriam K; Chirwa, Tobias F

Stanley, Christopher C; Kazembe, Lawrence N; Buchwald, Andrea G; Mukaka, Mavuto; Mathanga, Don P; Hudgens, Michael G; Laufer, Miriam K; Chirwa, Tobias F.

Afiliação

Stanley CC; School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Kazembe LN; Malaria Alert Center, University of Malawi College of Medicine, Blantyre, Malawi.
Buchwald AG; Department of Statistics, University of Namibia, Windhoek, Namibia.
Mukaka M; Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, USA.
Mathanga DP; Oxford Centre for Tropical Medicine and Global Health, Oxford, United Kingdom.
Hudgens MG; Mahidol-Oxford Tropical Medicine Research Unit, Bangkok, Thailand.
Laufer MK; Malaria Alert Center, University of Malawi College of Medicine, Blantyre, Malawi.
Chirwa TF; Department of Biostatistics, Center for AIDS Research (CFAR), University of North Carolina Chapel Hill, North Carolina, USA.

J Med Stat Inform ; 72019.

Article em En | MEDLINE | ID: mdl-31245015

Palavras-chave

Cox proportional hazards model; Prospective studies; clinical malaria; joint modelling; longitudinal data; malaria parasite; time-to-event

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Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 2_ODS3 / 3_ND Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Revista: J Med Stat Inform Ano de publicação: 2019 Tipo de documento: Article

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