SMOOTHING COVARIATE EFFECTS IN CURE MODELS

DOI10.1081/STA-120002860zbMath0991.62091OpenAlexW2155259247MaRDI QIDQ4540735

Chin-Shang Li

Publication date: 28 July 2002

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-120002860

zbMATH Keywords

B-splinesKaplan-Meier estimatorlogisticpenalized likelihoodsemi-parametric

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Testing in survival analysis and censored data (62N03)

Related Items (1)

Modeling excess hazard with time‐to‐cure as a parameter

Cites Work

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• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Semi-Parametric Estimation in Failure Time Mixture Models
• A New Bayesian Model for Survival Data with a Surviving Fraction
• A Proportional Hazards Model Taking Account of Long-Term Survivors
• Estimation in a Cox Proportional Hazards Cure Model
• A Nonparametric Mixture Model for Cure Rate Estimation
• A mixture model combining logistic regression with proportional hazards regression

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