D-Measure: A Bayesian Model Selection Criterion for Survival Data
From MaRDI portal
Publication:5237487
DOI10.1142/S2424922X19500074zbMath1430.62218OpenAlexW2965479198MaRDI QIDQ5237487
Yiqi Bao, Vicente G. Cancho, Francisco Louzada, Adriano K. Suzuki, Dey, Dipak K.
Publication date: 18 October 2019
Published in: Advances in Data Science and Adaptive Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1142/s2424922x19500074
Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Random effects in promotion time cure rate models
- Analysis of cure rate survival data under proportional odds model
- Bayesian semiparametric model for spatially correlated interval-censored survival data
- A flexible cure rate model for spatially correlated survival data based on generalized extreme value distribution and Gaussian process priors
- A Predictive Approach to the Analysis of Designed Experiments
- A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data
- A New Bayesian Model for Survival Data with a Surviving Fraction
- Bayesian Measures of Model Complexity and Fit
- A Unified Framework for Fitting Bayesian Semiparametric Models to Arbitrarily Censored Survival Data, Including Spatially Referenced Data
- A flexible model for survival data with a cure rate: a Bayesian approach
- Semi-Parametric Cure Rate Proportional Odds Models with Spatial Frailties for Interval-Censored Data
- Flexible Cure Rate Modeling Under Latent Activation Schemes
- Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical Bayes models
- Bias‐Corrected Maximum Likelihood Estimator of the Negative Binomial Dispersion Parameter
- Bayesian survival analysis
This page was built for publication: D-Measure: A Bayesian Model Selection Criterion for Survival Data
