Approximate Bayesian Inference for Survival Models
From MaRDI portal
Publication:2911680
DOI10.1111/j.1467-9469.2010.00715.xzbMath1246.62059OpenAlexW1860392020MaRDI QIDQ2911680
Håvard Rue, Rupali Akerkar, Sara Martino
Publication date: 1 September 2012
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9469.2010.00715.x
Related Items
Bayesian computing with INLA: new features, Bayesian two-component measurement error modelling for survival analysis using INLA -- a case study on cardiovascular disease mortality in Switzerland, Joint posterior inference for latent Gaussian models with R-INLA, Approximate Bayesian inference for case‐crossover models, A new avenue for Bayesian inference with INLA, Bayes linear Bayes networks with an application to prognostic indices, Stable non-linear generalized Bayesian joint models for survival-longitudinal data, Bayesian estimation of two‐part joint models for a longitudinal semicontinuous biomarker and a terminal event with INLA: Interests for cancer clinical trial evaluation, Approximate Bayesian inference for mixture cure models, Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines, Network meta-analysis with integrated nested Laplace approximations, Competing risks joint models using R-INLA, Bayesian inferences for beta semiparametric-mixed models to analyze longitudinal neuroimaging data
Uses Software
Cites Work
- Unnamed Item
- Mixed model-based inference in geoadditive hazard regression for interval-censored survival times
- Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
- The Analysis of Rates and of Survivorship Using Log-Linear Models
- Covariance Analysis of Censored Survival Data Using Log-Linear Analysis Techniques
- Modeling Spatial Variation in Leukemia Survival Data
- Bayesian Measures of Model Complexity and Fit
- Gaussian Markov Random Fields
- A Mixed Model Approach for Geoadditive Hazard Regression
- Joint modelling of longitudinal measurements and event time data
- Frailty modeling for spatially correlated survival data, with application to infant mortality in Minnesota
- Multivariate statistical modelling based on generalized linear models.
- Bayesian survival analysis