The proportional mean residual life regression model with cure fraction and auxiliary covariate

DOI10.1007/s10255-022-1078-4zbMath1493.62559OpenAlexW4226073710MaRDI QIDQ2125650

Ming-yu Shan, Yan Yan Liu, Guang Cai Mao, Shaojia Jin

Publication date: 14 April 2022

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-022-1078-4

zbMATH Keywords

kernel smoothingmean residual lifelogistic regressionmixture cure modelauxiliary covariate

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Cites Work

• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Accelerated hazards mixture cure model
• Multivariate failure times regression with a continuous auxiliary covariate
• Maximum likelihood estimation in the proportional hazards cure model
• Random Effects Logistic Regression Analysis with Auxiliary Covariates
• On semiparametric transformation cure models
• Covariate measurement errors and parameter estimation in a failure time regression model
• Failure Time Regression With Continuous Covariates Measured With Error
• Estimation in a Cox Proportional Hazards Cure Model
• A Nonparametric Mixture Model for Cure Rate Estimation
• Auxiliary covariate data in failure time regression
• Cure Rate Quantile Regression for Censored Data With a Survival Fraction
• Maximum Likelihood Estimation in a Semiparametric Logistic/Proportional-Hazards Mixture Model
• Semiparametric Failure Time Regression With Replicates of Mismeasured Covariates
• Estimated Pseudopartial‐Likelihood Method for Correlated Failure Time Data with Auxiliary Covariates
• A mixture model combining logistic regression with proportional hazards regression

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