Modeling categorical covariates for lifetime data in the presence of cure fraction by Bayesian partition structures
From MaRDI portal
Publication:5128609
DOI10.1080/02664763.2013.847067OpenAlexW1999383226MaRDI QIDQ5128609
Vera Lucia Tomazella, Francisco Louzada, Mário de Castro, Jhon F. B. Gonzales
Publication date: 28 October 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2013.847067
Related Items
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Destructive weighted Poisson cure rate models
- Analysis of cure rate survival data under proportional odds model
- Estimation of a noisy discrete-time step function: Bayes and empirical Bayes approaches
- On the unification of long-term survival models
- COM-Poisson cure rate survival models and an application to cutaneous melanoma data
- Bayesian dynamic models for survival data with a cure fraction
- Bayesian Partitioning for Estimating Disease Risk
- Bayesian Semiparametric Models for Survival Data with a Cure Fraction
- Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
- Handbook of Markov Chain Monte Carlo
- Computing Dirichlet Tessellations in the Plane
- A New Bayesian Model for Survival Data with a Surviving Fraction
- A Bayesian Long‐term Survival Model Parametrized in the Cured Fraction
- A flexible model for survival data with a cure rate: a Bayesian approach
- Flexible Cure Rate Modeling Under Latent Activation Schemes
- Cure rate models: A unified approach
- Bayesian survival analysis