A Bayesian model for spatial partly interval-censored data
From MaRDI portal
Publication:5055228
DOI10.1080/03610918.2020.1839497OpenAlexW3095259720MaRDI QIDQ5055228
Publication date: 13 December 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1839497
proportional hazards modelBayesian semiparametricpartly interval-censored dataspatial frailtyconditionally autoregressive prior
Uses Software
Cites Work
- On the Precision of the Conditionally Autoregressive Prior in Spatial Models
- A Predictive Approach to Model Selection
- Bayesian Approach for Nonlinear Random Effects Models
- Modeling Spatial Variation in Leukemia Survival Data
- Semiparametric estimation of the accelerated failure time model with partly interval‐censored data
- Maximum Likelihood Estimation for the Proportional Hazards Model with Partly Interval-Censored Data
- Bayesian Measures of Model Complexity and Fit
- A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data
- Generalized Log‐Rank Tests for Partly Interval‐Censored Failure Time Data
- On the distinction between the conditional probability and the joint probability approaches in the specification of nearest-neighbour systems
- Monte Carlo sampling methods using Markov chains and their applications
- Proper multivariate conditional autoregressive models for spatial data analysis
- Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota
- The Deviance Information Criterion: 12 Years on
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: A Bayesian model for spatial partly interval-censored data
