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Mixtures of Varying Coefficient Models for Longitudinal Data with Discrete or Continuous Nonignorable Dropout

The analysis of longitudinal repeated measures data is frequently complicated by missing data due to informative dropout. We describe a mixture model for joint distribution for longitudinal repeated measures, where the dropout distribution may be continuous and the dependence between response and dr...

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Detalhes bibliográficos
Main Authors: Hogan, Joseph W., Lin, Xihong, Herman, Benjamin
Formato: Artigo
Idioma:Inglês
Publicado em: 2004
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2677904/
https://ncbi.nlm.nih.gov/pubmed/15606405
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.0006-341X.2004.00240.x
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