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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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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2007
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| Assuntos: | |
| Acceso en liña: | 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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