Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data
Prostate cancer is the most common cancer after non-melanoma skin cancer and the second leading cause of cancer deaths in US men. Its incidence and mortality rates vary substantially across geographical region...
Source: BMC Medical Research Methodology - Category: Research Authors: Ming Wang, Zheng Li, Jun Lu, Lijun Zhang, Yimei Li and Liangliang Zhang Tags: Research Source Type: research
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