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https://repositorio.ufba.br/handle/ri/14715
metadata.dc.type: | Artigo de Periódico |
Título : | Dynamic analysis of recurrent event data with missing observations, with application to infant diarrhoea in Brazil |
Otros títulos : | Scandinavian Journal of Statistics |
Autor : | Borgan, Ørnulf Fiaccone, Rosemeire Leovigildo Henderson, Robin Barreto, Mauricio Lima |
metadata.dc.creator: | Borgan, Ørnulf Fiaccone, Rosemeire Leovigildo Henderson, Robin Barreto, Mauricio Lima |
Resumen : | This paper examines and applies methods for modelling longitudinal binary data subject to both intermittent missingness and dropout. The paper is based around the analysis of data from a study into the health impact of a sanitation programme carried out in Salvador, Brazil. Our objective was to investigate risk factors associated with incidence and prevalence of diarrhoea in children aged up to 3 years old. In total, 926 children were followed up at home twice a week from October 2000 to January 2002 and for each child daily occurrence of diarrhoea was recorded. A challenging factor in analysing these data is the presence of between-subject heterogeneity not explained by known risk factors, combined with significant loss of observed data through either intermittent missingness (average of 78 days per child) or dropout (21% of children). We discuss modelling strategies and show the advantages of taking an event history approach with an additive discrete time regression model. |
Palabras clave : | Additive regression model Diarrhoea incidence and prevalence Discrete time martingales Dropout Longitudinal binary data Missing data |
metadata.dc.rights: | Acesso Aberto |
URI : | http://repositorio.ufba.br/ri/handle/ri/14715 |
Fecha de publicación : | 2007 |
Aparece en las colecciones: | Artigo Publicado em Periódico (IME) |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
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j.1467-9469.2006.00525.x.pdf | 825,24 kB | Adobe PDF | Visualizar/Abrir |
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