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Bayesian joint modelling of longitudinal and time to event data: a methodological review
BACKGROUND: In clinical research, there is an increasing interest in joint modelling of longitudinal and time-to-event data, since it reduces bias in parameter estimation and increases the efficiency of statistical inference. Inference and prediction from frequentist approaches of joint models have...
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| Publicado en: | BMC Med Res Methodol |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2020
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7183597/ https://ncbi.nlm.nih.gov/pubmed/32336264 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-020-00976-2 |
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