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- Title
Dynamic Analysis of Recurrent Event Data with Missing Observations, with Application to Infant Diarrhoea in Brazil.
- Authors
BORGAN, ØRNULF; FIACCONE, ROSEMEIRE L.; HENDERSON, ROBIN; BARRETO, MAURICIO L.
- 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.
- Subjects
REGRESSION analysis; DIARRHEA; SCHOOL dropouts; MISSING data (Statistics); ESTIMATION theory
- Publication
Scandinavian Journal of Statistics, 2007, Vol 34, Issue 1, p53
- ISSN
0303-6898
- Publication type
Article
- DOI
10.1111/j.1467-9469.2006.00525.x