Spatial Extended Hazard Model with Application to Prostate Cancer Survival
Spatial Extended Hazard Model with Application to Prostate Cancer Survival
Summary This article 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, Journal of the American Statistical Association101, 591–603), using a correlation structure implied by an …