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JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data

Joint models for longitudinal and survival data now have a long history of being used in clinical trials or other studies in which the goal is to assess a treatment effect while accounting for a longitudinal biomarker such as patient-reported outcomes or immune responses. Although software has been...

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Detalhes bibliográficos
Main Authors: Danjie Zhang, Ming-Hui Chen, Joseph G. Ibrahim, Mark E. Boye, Wei Shen
Formato: Artigo
Idioma:Inglês
Publicado em: Foundation for Open Access Statistics 2016-07-01
Colecção:Journal of Statistical Software
Assuntos:
AIC
BIC
Acesso em linha:https://www.jstatsoft.org/index.php/jss/article/view/2752
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