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Comparaisons des méthodes d'analyse des données binaires ou ordinales corrélées. Application à l'étude longitudinale de l'incapacité des personnes âgées

Abstract : Fitting binary and ordinal correlated responses is presently an important field of development
in epidemiology. The longitudinal study of disability in elderly people and the search for risk
factors of disability is a crucial issue for public health. In this context, we compared marginal
logistic models and random effects logistic models considering disability as a binary response
to illustrate the following aspects: choice of the covariance structure, impact of missing data,
importance of time-dependent covariates, and interpretation of the results. The random effects
model was used to compute a predictive score from a large number of risk factors available in
the Epidos cohort. The mixed ordinal logistic models were then described and compared. We
showed how they allow identifying differential effects of the factors on the stages of
disability.
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Submitted on : Wednesday, October 18, 2006 - 2:26:02 PM
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Isabelle Carrière. Comparaisons des méthodes d'analyse des données binaires ou ordinales corrélées. Application à l'étude longitudinale de l'incapacité des personnes âgées. Sciences du Vivant [q-bio]. Université Paris Sud - Paris XI, 2005. Français. ⟨tel-00107384⟩

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