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Bayesian cure-rate survival model with spatially structured censoring
We propose a Bayesian spatial model for time-to-event data in which we allow the censoring mechanism to depend on covariates and have a spatial structure. The survival model incorporates a cure rate fraction and assumes that the time-to-event follows a Weibull distribution, with covariates such as r...
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| Pubblicato in: | Spat Stat |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7449293/ https://ncbi.nlm.nih.gov/pubmed/32855903 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.spasta.2018.08.007 |
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