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Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data
This article develops a variety of influence measures for carrying out perturbation (or sensitivity) analysis to joint models of longitudinal and survival data (JMLS) in Bayesian analysis. A perturbation model is introduced to characterize individual and global perturbations to the three components...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3496431/ https://ncbi.nlm.nih.gov/pubmed/22385010 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2012.01745.x |
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