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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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Bibliografiska uppgifter
I publikationen:J Stat Softw
Huvudupphovsmän: Zhang, Danjie, Chen, Ming-Hui, Ibrahim, Joseph G., Boye, Mark E., Shen, Wei
Materialtyp: Artigo
Språk:Inglês
Publicerad: 2016
Ämnen:
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC5015698/
https://ncbi.nlm.nih.gov/pubmed/27616941
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