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Varying-coefficient models for longitudinal processes with continuous-time informative dropout
Dropout is a common occurrence in longitudinal studies. Building upon the pattern-mixture modeling approach within the Bayesian paradigm, we propose a general framework of varying-coefficient models for longitudinal data with informative dropout, where measurement times can be irregular and dropout...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2800163/ https://www.ncbi.nlm.nih.gov/pubmed/19837655 http://dx.doi.org/10.1093/biostatistics/kxp040 |