Add to ORKGSurvival Model is widely used in medical field and biostatistics. This model can be used to identify the risk factors of an event and can handle the situation when risk factors change with time. Timing of an event frequently depends on the location (spatial) called as spatial survival model. In the development, survival modeling also included random effects models (frailty) to overcome the heterogeneity / sources of unexplained variance in the model. Bayesian approach couple with Markov Chain Monte Carlo (MCMC) was developed in this paper to estimate the spatial parameters of survival models with Conditional Autoregressive (CAR) frailty. The purpose of this study is to assess and implement the MCMC algorithm for modeling survival by using s...
n some studies, survival data are arranged spatially such as geographical regions. Incorporating spa...
Survival methods are used for the statistical modelling of time-to-event data, with applications in ...
Data and code for Darmofal, David. 2009. "Bayesian Spatial Survival Models for Political Event Proce...
Title from PDF of title page (University of Missouri--Columbia, viewed on October 29, 2012).The enti...
This paper deals with the analysis of multivariate survival data from a Bayesian perspective using M...
Most of the few published models used to obtain small-area estimates of relative survival are based ...
Most of the few published models used to obtain small-area estimates of relative survival are based ...
this paper we extend this Bayesian MARS model to cope with survival data in a similar way that the H...
We propose a hierarchical Bayesian methodology to model spatially or spatio-temporal clustered survi...
Spatial survival analysis has received a great deal of attention over the last 20 years due to the i...
Based on the example of data on breast cancer survival in a specific area in France, this paper desc...
In this research we introduce a new class of Bayesian hierarchical models that incorporates spatial ...
In geographical epidemiology, maps of disease rates and disease risk provide a spatial perspective f...
The hazard function plays a central role in survival analysis. In a homogeneous population, the dist...
We propose a new class of semiparametric frailty models for spatially correlated survival data. Spec...
n some studies, survival data are arranged spatially such as geographical regions. Incorporating spa...
Survival methods are used for the statistical modelling of time-to-event data, with applications in ...
Data and code for Darmofal, David. 2009. "Bayesian Spatial Survival Models for Political Event Proce...
Title from PDF of title page (University of Missouri--Columbia, viewed on October 29, 2012).The enti...
This paper deals with the analysis of multivariate survival data from a Bayesian perspective using M...
Most of the few published models used to obtain small-area estimates of relative survival are based ...
Most of the few published models used to obtain small-area estimates of relative survival are based ...
this paper we extend this Bayesian MARS model to cope with survival data in a similar way that the H...
We propose a hierarchical Bayesian methodology to model spatially or spatio-temporal clustered survi...
Spatial survival analysis has received a great deal of attention over the last 20 years due to the i...
Based on the example of data on breast cancer survival in a specific area in France, this paper desc...
In this research we introduce a new class of Bayesian hierarchical models that incorporates spatial ...
In geographical epidemiology, maps of disease rates and disease risk provide a spatial perspective f...
The hazard function plays a central role in survival analysis. In a homogeneous population, the dist...
We propose a new class of semiparametric frailty models for spatially correlated survival data. Spec...
n some studies, survival data are arranged spatially such as geographical regions. Incorporating spa...
Survival methods are used for the statistical modelling of time-to-event data, with applications in ...
Data and code for Darmofal, David. 2009. "Bayesian Spatial Survival Models for Political Event Proce...