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Please use this identifier to cite or link to this item: http://repositorio.ufba.br/ri/handle/ri/14715

Title: Dynamic analysis of recurrent event data with missing observations, with application to infant diarrhoea in Brazil
Other Titles: Scandinavian Journal of Statistics
Authors: Borgan, Ørnulf
Fiaccone, Rosemeire Leovigildo
Henderson, Robin
Barreto, Mauricio Lima
Keywords: Additive regression model;Diarrhoea incidence and prevalence;Discrete time martingales;Dropout;Longitudinal binary data;Missing data
Issue Date: 2007
Abstract: 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.
Description: Texto completo: acesso restrito. p. 53–69
URI: http://repositorio.ufba.br/ri/handle/ri/14715
ISSN: 0303-6898
Appears in Collections:Artigos Publicados em Periódicos (IM)

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