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A General Class of Pattern Mixture Models for Nonignorable Dropout with Many Possible Dropout Times

In this article we consider the problem of fitting pattern mixture models to longitudinal data when there are many unique dropout times. We propose a marginally specified latent class pattern mixture model. The marginal mean is assumed to follow a generalized linear model, whereas the mean condition...

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Bibliografiske detaljer
Main Authors: Roy, Jason, Daniels, Michael J.
Format: Artigo
Sprog:Inglês
Udgivet: 2007
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC2791415/
https://ncbi.nlm.nih.gov/pubmed/17900312
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2007.00884.x
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