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Joint modeling of longitudinal zero-inflated count and time-to-event data: A Bayesian perspective

Longitudinal zero-inflated count data are encountered frequently in substance-use research when assessing the effects of covariates and risk factors on outcomes. Often, both the time to a terminal event such as death or dropout and repeated measure count responses are collected for each subject. In...

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Shranjeno v:
Bibliografske podrobnosti
izdano v:Stat Methods Med Res
Main Authors: Zhu, Huirong, DeSantis, Stacia M., Luo, Sheng
Format: Artigo
Jezik:Inglês
Izdano: 2016
Teme:
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC5269555/
https://ncbi.nlm.nih.gov/pubmed/27460540
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280216659312
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