most citedspBayesSurv: Fitting Bayesian Spatial Survival Models Using R

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stat.AP2017★ 1 cited

A unified framework for fitting Bayesian semiparametric models to arbitrarily censored survival data, including spatially-referenced data

Haiming Zhou, Timothy Hanson

A comprehensive, unified approach to modeling arbitrarily censored spatial survival data is presented for the three most commonly-used semiparametric models: proportional hazards,…