Quantile regression based on a weighted approach under semi-competing risks data

DOI10.1080/00949655.2014.941844zbMath1457.62110OpenAlexW2036956266MaRDI QIDQ5220914

Jin-Jian Hsieh, Ming-Fu Hsiao

Publication date: 27 March 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2014.941844

zbMATH Keywords

quantile regressiondependent censoringcopula modelsemi-competing risks data

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items

Quantile residual life regression based on semi-competing risks data, A pseudo-values regression model for non-fatal event free survival in the presence of semi-competing risks

Uses Software

• cmprskQR

Cites Work

• Competing Risks Quantile Regression
• Least absolute deviations estimation for the censored regression model
• Censored regression quantiles
• On semi-competing risks data
• Power-Transformed Linear Quantile Regression With Censored Data
• Survival Analysis With Quantile Regression Models
• Censored Regression Quantiles
• An Alternative Estimator for the Censored Quantile Regression Model
• Censored Median Regression Using Weighted Empirical Survival and Hazard Functions
• Survival Analysis with Median Regression Models
• Asymptotics for censored regression quantiles
• Estimating Survival and Association in a Semicompeting Risks Model
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