Cure Rate Quantile Regression for Censored Data With a Survival Fraction

DOI10.1080/01621459.2013.837368zbMath1426.62128OpenAlexW2092862037MaRDI QIDQ5406377

Guosheng Yin, Yuan Shan Wu

Publication date: 1 April 2014

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2013.837368

zbMATH Keywords

survival analysisrandom censoringVolterra integral equationmartingaleempirical processlong-term survivorregression quantilecure rate model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01)

Related Items

The proportional mean residual life regression model with cure fraction and auxiliary covariate ⋮ Multiple imputation for cure rate quantile regression with censored data ⋮ Rejoinder on: ``Nonparametric estimation in mixture cure models with covariates ⋮ Nonparametric inference on smoothed quantile regression process ⋮ A support vector machine based semiparametric mixture cure model ⋮ Semiparametric Bayesian estimation of quantile function for breast cancer survival data with cured fraction ⋮ Censored quantile regression survival models with a cure proportion ⋮ Transformed Dynamic Quantile Regression on Censored Data

Cites Work

• Unnamed Item
• Quantile calculus and censored regression
• Accelerated hazards mixture cure model
• Partially linear censored quantile regression
• Maximum likelihood estimation in the proportional hazards cure model
• Least absolute deviations estimation for the censored regression model
• Censored regression quantiles
• On using stratification in the analysis of linear regression models with right censoring
• Simple resampling methods for censored regression quantiles
• Quantile regression under random censoring.
• Estimating the asymptotic covariance matrix for quantile regression models. A Monte Carlo study
• Weak convergence and empirical processes. With applications to statistics
• Asymptotic properties of conditional distribution estimator with truncated, censored and dependent data
• A survey of product-integration with a view toward application in survival analysis
• A simple resampling method by perturbing the minimand
• Censored quantile regression with partially functional effects
• Power-Transformed Linear Quantile Regression With Censored Data
• Median Regression with Censored Cost Data
• Bootstrapping Quantile Regression Estimators
• On semiparametric transformation cure models
• Efficient Estimation for the Accelerated Failure Time Model
• Survival Analysis With Quantile Regression Models
• Residuals for relative risk regression
• Regression Quantiles
• Checking the Cox model with cumulative sums of martingale-based residuals
• A resampling method based on pivotal estimating functions
• Censored Regression Quantiles
• An Alternative Estimator for the Censored Quantile Regression Model
• Bootstrap Methods for Median Regression Models
• Estimation in a Cox Proportional Hazards Cure Model
• A Nonparametric Mixture Model for Cure Rate Estimation
• Asymptotics for censored regression quantiles
• Locally Weighted Censored Quantile Regression
• Semiparametric Efficient Estimation for a Class of Generalized Proportional Odds Cure Models
• Maximum Likelihood Estimation in a Semiparametric Logistic/Proportional-Hazards Mixture Model
• Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
• Semiparametric Transformation Models for Survival Data With a Cure Fraction
• Statistical models based on counting processes
• Identifiability of cure models
• A mixture model combining logistic regression with proportional hazards regression