Campo DC | Valor | Idioma |
dc.contributor.author | Borgan, Ørnulf | - |
dc.contributor.author | Fiaccone, Rosemeire Leovigildo | - |
dc.contributor.author | Henderson, Robin | - |
dc.contributor.author | Barreto, Mauricio Lima | - |
dc.creator | Borgan, Ørnulf | - |
dc.creator | Fiaccone, Rosemeire Leovigildo | - |
dc.creator | Henderson, Robin | - |
dc.creator | Barreto, Mauricio Lima | - |
dc.date.accessioned | 2014-03-11T11:23:55Z | - |
dc.date.issued | 2007 | - |
dc.identifier.issn | 0303-6898 | - |
dc.identifier.uri | http://repositorio.ufba.br/ri/handle/ri/14715 | - |
dc.description | Texto completo: acesso restrito. p. 53–69 | pt_BR |
dc.description.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. | pt_BR |
dc.language.iso | en | pt_BR |
dc.rights | Acesso Aberto | pt_BR |
dc.source | http://dx.doi.org/10.1111/j.1467-9469.2006.00525.x | pt_BR |
dc.subject | Additive regression model | pt_BR |
dc.subject | Diarrhoea incidence and prevalence | pt_BR |
dc.subject | Discrete time martingales | pt_BR |
dc.subject | Dropout | pt_BR |
dc.subject | Longitudinal binary data | pt_BR |
dc.subject | Missing data | pt_BR |
dc.title | Dynamic analysis of recurrent event data with missing observations, with application to infant diarrhoea in Brazil | pt_BR |
dc.title.alternative | Scandinavian Journal of Statistics | pt_BR |
dc.type | Artigo de Periódico | pt_BR |
dc.identifier.number | v. 34, n. 1 | pt_BR |
dc.embargo.liftdate | 10000-01-01 | - |
Aparece nas coleções: | Artigo Publicado em Periódico (IME)
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