Power-transformed linear regression on quantile residual life for censored competing risks data

DOI10.1080/03610926.2014.950873zbMath1349.62458OpenAlexW2326546940MaRDI QIDQ2830179

Yong Zhou, Cai-Yun Fan, Fei-Peng Zhang

Publication date: 9 November 2016

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

Full work available at URL: https://doi.org/10.1080/03610926.2014.950873

zbMATH Keywords

empirical processcompeting risksBox-Cox transformationquantile residual life

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• Competing Risks Quantile Regression
• Partial rank estimation of duration models with general forms of censoring
• Censored quantile regression for residual lifetimes
• Power-Transformed Linear Quantile Regression With Censored Data
• Semiparametric median residual life model and inference
• A note on residual life
• Competing Risks
• Efficient resampling methods for nonsmooth estimating functions
• Semiparametric Box–Cox power transformation models for censored survival observations
• A note on cause-specific residual life
• Analysis of transformation models with censored data
• Rank-based inference for the accelerated failure time model
• Nonparametric inference on cause‐specific quantile residual life
• Locally Weighted Censored Quantile Regression
• Additive Expectancy Regression
• Power Transformation Toward a Linear Regression Quantile
• Linear life expectancy regression with censored data
• Semiparametric Estimation of Proportional Mean Residual Life Model in Presence of Censoring
• Regression on Quantile Residual Life

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