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Hidden three-state survival model for bivariate longitudinal count data
A model is presented that describes bivariate longitudinal count data by conditioning on a progressive illness-death process where the two living states are latent. The illness-death process is modelled in continuous time, and the count data are described by a bivariate extension of the binomial dis...
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| Publicado no: | Lifetime Data Anal |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6557880/ https://ncbi.nlm.nih.gov/pubmed/30151802 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10985-018-9448-1 |
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