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Bayesian Random Threshold Estimation in a Cox Proportional Hazards Cure Model

In this paper, we develop a Bayesian approach to estimate a Cox proportional hazards model that allows a threshold in the regression coefficient based on a threshold in a covariate, when some fraction of subjects are not susceptible to the event of interest. A data augmentation scheme with latent bi...

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Autors principals: Zhao, Lili, Feng, Dai, Bellile, Emily L., Taylor, Jeremy M.G.
Format: Artigo
Idioma:Inglês
Publicat: 2013
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4167617/
https://ncbi.nlm.nih.gov/pubmed/24009083
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5964
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