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Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data with Applications to Cancer Clinical Trials

Joint models for longitudinal and survival data are routinely used in clinical trials or other studies to assess a treatment effect while accounting for longitudinal measures such as patient-reported outcomes (PROs). In the Bayesian framework, the deviance information criterion (DIC) and the logarit...

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Bibliographische Detailangaben
Veröffentlicht in:J Comput Graph Stat
Hauptverfasser: Zhang, Danjie, Chen, Ming-Hui, Ibrahim, Joseph G., Boye, Mark E., Shen, Wei
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2017
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5321618/
https://ncbi.nlm.nih.gov/pubmed/28239247
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2015.1117472
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