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Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: application to multiple sclerosis progression
Longitudinal ordinal data are common in many scientific studies, including those of multiple sclerosis (MS), and are frequently modeled using Markov dependency. Several authors have proposed random-effects Markov models to account for heterogeneity in the population. In this paper, we go one step fu...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2008
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2536724/ https://ncbi.nlm.nih.gov/pubmed/18424785 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxn008 |
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