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A Bayesian nonlinear mixed-effects disease progression model
A nonlinear mixed-effects approach is developed for disease progression models that incorporate variation in age in a Bayesian framework. We further generalize the probability model for sensitivity to depend on age at diagnosis, time spent in the preclinical state and sojourn time. The developed mod...
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| Publié dans: | J Biom Biostat |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2015
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4718583/ https://ncbi.nlm.nih.gov/pubmed/26798562 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4172/2155-6180.1000271 |
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