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A comparison of time-homogeneous Markov chain and Markov process multi-state models
Time-homogeneous Markov models are widely used tools for analyzing longitudinal data about the progression of a chronic disease over time. There are advantages to modeling the true disease progression as a discrete time stationary Markov chain. However, one limitation of this method is its inability...
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| Publicado no: | Commun Stat Case Stud Data Anal Appl |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5803756/ https://ncbi.nlm.nih.gov/pubmed/29430521 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/23737484.2017.1361366 |
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