… may be useful to include spatial information in the survival model. Bayesian spatial survival
models have recently emerged in the literature, and commonly spatially structured priors are …

… Against traditional non-spatial analyses, our Bayesian spatial survival model enhances
the assessment precision for environmental research with spatial survival data to reveal …

… This tutorial shows how various Bayesian survival models can be fitted using the integrated
nested Laplace approximation in a clear, legible, and comprehensible manner using the …

… Special models can be developed for ST data variants, such as spatial survival modeling,
spatial recurrent event, or longitudinal modeling. To set the scene with respect to historical …

… In this article we focus only on the survival modelling functionality. This includes standard …
on Bayesian spatial survival modelling but can also be used for non-spatial survival data. It …

… To conclude, Section 8 ends with an overview of the Bayesian survival models introduced
… Theoretical and methodological aspects of survival models and Bayesian inference are not …

… model to consider spatial effects on prostate cancer survival. The aforementioned works only
considered spatial random effects on Bayesian survival models. … of models to be spatially …

… presented in spatial and spatial-temporal data. Throughout this book, we shall demonstrate
how Bayesian hierarchical modelling and Bayesian spatial econometric modelling can help …

… Distinct from Huang and Liu (2007), we assume an accelerated failure time survival
model with random-effects linking the two processes. This choice is different from non-proportional …

… Spatial random effects for areal unit data . . . . . . . . . . . 312 10.5 Revisited example: Bayesian
spatial generalized linear model … Spatial GLM fitting with binomial distribution . . . . 315 10.5.…