Modelling spatially correlated survival data for individuals with multiple cancers
From MaRDI portal
Publication:4970883
DOI10.1177/1471082X0700700205WikidataQ33507546 ScholiaQ33507546MaRDI QIDQ4970883
Sudipto Banerjee, Ulysses Diva, Dey, Dipak K.
Publication date: 7 October 2020
Published in: Statistical Modelling (Search for Journal in Brave)
Markov chain Monte Carlo (MCMC)frailty modelsBayesian hierarchical modelsspatial associationmixture of beta functionssurvival modelling
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- Loglinear Rasch model tests
- Monte Carlo methods in Bayesian computation
- Semiparametric proportional odds models for spatially correlated survival data
- Modeling Spatial Survival Data Using Semiparametric Frailty Models
- Generalized Hierarchical Multivariate CAR Models for Areal Data
- Bayesian Analysis of Proportional Hazards Models Built from Monotone Functions
- Towards joint disease mapping
- Bayesian Measures of Model Complexity and Fit
- A Shared Component Model for Detecting Joint and Selective Clustering of Two Diseases
- Adaptive Rejection Sampling for Gibbs Sampling
- Proper multivariate conditional autoregressive models for spatial data analysis
- Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota
- Bayesian survival analysis
- Deviance information criteria for missing data models