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Spatial Extended Hazard Model with Application to Prostate Cancer Survival
This paper develops a Bayesian semiparametric approach to the extended hazard model, with generalization to high-dimensional spatially-grouped data. County-level spatial correlation is accommodated marginally through the normal transformation model of Li and Lin (2006), using a correlation structure...
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| Udgivet i: | Biometrics |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2014
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5502082/ https://ncbi.nlm.nih.gov/pubmed/25521422 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12268 |
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