A class of parametric dynamic survival models

DOI10.1007/S10985-004-5641-5zbMath1076.62097OpenAlexW2020076954WikidataQ81477828 ScholiaQ81477828MaRDI QIDQ2576819

K. Hemming, J. Ewart H. Shaw

Publication date: 14 December 2005

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-004-5641-5

zbMATH Keywords

interval censoringright censoringrandom effectsnon-proportional hazardskidney infection datagastric cancer data

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (3)

Bayesian estimation and stochastic model specification search for dynamic survival models ⋮ A class of parametric dynamic survival models ⋮ A Parametric Dynamic Survival Model Applied to Breast Cancer Survival Times

Cites Work

• Generalized additive models
• Flexible Bayesian modelling for survival data
• A flexible approach to time-varying coefficients in the Cox regression setting
• Markov chains for exploring posterior distributions. (With discussion)
• A class of parametric dynamic survival models
• Multivariate Generalizations of the Proportional Hazards Model
• Survival models for heterogeneous populations derived from stable distributions
• The Calculation of Posterior Distributions by Data Augmentation
• Markov chain Monte Carlo for dynamic generalised linear models
• Covariance structure of the Gibbs sampler with applications to the comparisons of estimators and augmentation schemes
• Time-Dependent Effects of Fixed Covariates in Cox Regression
• Semiparametric Bayesian Analysis of Survival Data
• Markov Beta and Gamma Processes for Modelling Hazard Rates
• Bayesian Analysis and Model Selection for Interval‐Censored Survival Data
• Multivariate Survival Analysis with Positive Stable Frailties
• Dynamic Bayesian Models for Survival Data
• Multivariate Survival Analysis Using Piecewise Gamma Frailty

This page was built for publication: A class of parametric dynamic survival models