Individual frailty excess hazard models in cancer epidemiology
From MaRDI portal
Publication:6617457
DOI10.1002/sim.9657zbMATH Open1545.6253MaRDI QIDQ6617457
Francisco J. Rubio, Aurélien Belot, Hein Putter
Publication date: 11 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- On Estimation in Relative Survival
- Model selection in linear mixed models
- Survival and event history analysis. A process point of view
- Modelling heterogeneity in survival analysis by the compound Poisson distribution
- Additive Bayesian variable selection under censoring and misspecification
- On a general class of semiparametric hazards regression models
- Survival models for heterogeneous populations derived from stable distributions
- Proportional excess hazards
- A nonidentifiability aspect of the problem of competing risks.
- Effect of Frailty on Marginal Regression Estimates in Survival Analysis
- Predicting survival using disease history: a model combining relative survival and frailty
- Modeling Survival Data Using Frailty Models
- Tumor dormancy and frailty models: A novel approach
- Nonproportional hazards and unobserved heterogeneity in clustered survival data: when can we tell the difference?
- A tractable Bayesian joint model for longitudinal and survival data
- Multi-dimensional penalized hazard model with continuous covariates: applications for studying trends and social inequalities in cancer survival
- A unifying framework for flexible excess hazard modelling with applications in cancer epidemiology
This page was built for publication: Individual frailty excess hazard models in cancer epidemiology
