Identifiability of cure models revisited
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Publication:2252900
DOI10.1016/j.jmva.2014.06.002zbMath1292.62134OpenAlexW1972999486MaRDI QIDQ2252900
Li-Shan Huang, Leonid G. Hanin
Publication date: 24 July 2014
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2014.06.002
proportional hazards modelmixture modelmodel identifiabilityscalable family of functionsYakovlev model
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)
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Cites Work
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- Identifiability of a mixture cure frailty model
- Identification problem for stochastic models with application to carcinogenesis, cancer detection and radiation biology
- On semiparametric transformation cure models
- Individual Prediction in Prostate Cancer Studies Using a Joint Longitudinal Survival–Cure Model
- Cure Rate Model With Mismeasured Covariates Under Transformation
- Semi-Parametric Estimation in Failure Time Mixture Models
- 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
- Promotion Time Models with Time‐Changing Exposure and Heterogeneity: Application to Infectious Diseases
- Semiparametric Efficient Estimation for a Class of Generalized Proportional Odds Cure Models
- Flexible Cure Rate Modeling Under Latent Activation Schemes
- Semiparametric Transformation Models for Survival Data With a Cure Fraction
- Identifiability of cure models
- A mixture model combining logistic regression with proportional hazards regression