A Semiparametric Marginalized Model for Longitudinal Data with Informative Dropout
نویسندگان
چکیده
منابع مشابه
A Semiparametric Marginalized Model for Longitudinal Data with Informative Dropout.
We propose a marginalized joint-modeling approach for marginal inference on the association between longitudinal responses and covariates when longitudinal measurements are subject to informative dropouts. The proposed model is motivated by the idea of linking longitudinal responses and dropout times by latent variables while focusing on marginal inferences. We develop a simple inference proced...
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Within the pattern-mixture modeling framework for informative dropout, conditional linear models (CLMs) are a useful approach to deal with dropout that can occur at any point in continuous time (not just at observation times). However, in contrast with selection models, inferences about marginal covariate effects in CLMs are not readily available if nonidentity links are used in the mean struct...
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Missing values occur in studies of various disciplines such as social sciences, medicine, and economics. The missing mechanism in these studies should be investigated more carefully. In this article, some models, proposed in the literature on longitudinal data with dropout are reviewed and compared. In an applied example it is shown that the selection model of Hausman and Wise (1979, Econometri...
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ژورنال
عنوان ژورنال: Journal of Probability and Statistics
سال: 2012
ISSN: 1687-952X,1687-9538
DOI: 10.1155/2012/734341