A new threshold regression model for survival data with a cure fraction
From MaRDI portal
Publication:746094
DOI10.1007/s10985-010-9166-9zbMath1322.62281OpenAlexW1987602320WikidataQ33562927 ScholiaQ33562927MaRDI QIDQ746094
Sungduk Kim, Ming-Hui Chen, Dey, Dipak K.
Publication date: 15 October 2015
Published in: Lifetime Data Analysis (Search for Journal in Brave)
Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829617
Markov chain Monte Carlolatent variablesposterior distributionprostate cancerDICcure rate modelsLPML
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Reliability and life testing (62N05)
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Cites Work
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- A new latent cure rate marker model for survival data
- Rank regression
- Bayesian inference for multivariate survival data with a cure fraction
- Bayesian dynamic models for survival data with a cure fraction
- Maximum Likelihood Methods for Cure Rate Models with Missing Covariates
- Bayesian Semiparametric Models for Survival Data with a Cure Fraction
- A Semiparametric Approach for the Two-Sample Comparison of Survival Times with Long-Term Survivors
- Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
- On semiparametric transformation cure models
- Bayesian Cure Rate Models for Malignant Melanoma: A Case-Study of Eastern Cooperative Oncology Group Trial E1690
- Limited Failure Population Life Tests: Application to Integrated Circuit Reliability
- Analysis of transformation models with censored data
- The Collapsed Gibbs Sampler in Bayesian Computations with Applications to a Gene Regulation Problem
- A New Bayesian Model for Survival Data with a Surviving Fraction
- Estimation in a Cox Proportional Hazards Cure Model
- A Nonparametric Mixture Model for Cure Rate Estimation
- Bayesian Measures of Model Complexity and Fit
- Adaptive Rejection Sampling for Gibbs Sampling
- Analysing Competing Risks Data With Transformation Models
- Flexible Cure Rate Modeling Under Latent Activation Schemes
- Cure rate models: A unified approach
- Joint Models for Multivariate Longitudinal and Multivariate Survival Data
- Monte Carlo sampling methods using Markov chains and their applications
- A General Class of Bayesian Survival Models with Zero and Nonzero Cure Fractions
- Bayesian survival analysis
- Estimation of survival based on proportional hazards when cure is a possibility
- Identifiability of cure models
- A mixture model combining logistic regression with proportional hazards regression
