Generating data from improper distributions: application to Cox proportional hazards models with cure

DOI10.1080/00949655.2012.700714zbMath1453.62662OpenAlexW2088630527MaRDI QIDQ5219219

Ernesto San Martín, Abderrahim Oulhaj

Publication date: 9 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2012.700714

zbMATH Keywords

cure rate modelsimproper survivor distributionsproportion of susceptibles

Mathematics Subject Classification ID

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

Cites Work

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• Cox's regression model for counting processes: A large sample study
• Asymptotic efficiency of a proportional hazards model with cure
• Proportional hazards models for survival data with long-term survivors
• 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
• Semiparametric Models: A Generalized Self-Consistency Approach
• A mixture model combining logistic regression with proportional hazards regression

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