Bayesian Parametric Accelerated Failure Time Spatial Model and its Application to Prostate Cancer
Prostate cancer is the most common cancer diagnosed in American men and the second leading cause of death from malignancies. There are large geographical variation and racial disparities existing in the survival rate of prostate cancer. Much work on the spatial survival model is based on the proport...
| Publié dans: | Journal of applied statistics. - 1991. - 38(2011), 2 vom: 01. März, Seite 591-603 |
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| Format: | Article |
| Langue: | English |
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2011
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| Accès à la collection: | Journal of applied statistics |
| Sujets: | Journal Article |