Composite quantile regression estimation for left censored response longitudinal data

DOI10.1007/s10255-018-0782-6zbMath1404.62040OpenAlexW2894916974WikidataQ129145685 ScholiaQ129145685MaRDI QIDQ1617021

Li-Qun Xiao, Zhan-Feng Wang, Yao-hua Wu

Publication date: 7 November 2018

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

Full work available at URL: https://doi.org/10.1007/s10255-018-0782-6

zbMATH Keywords

longitudinal dataquantile regressionleft censoredrandomly weighting

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01)

Related Items (1)

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Cites Work

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• Weighted composite quantile estimation and variable selection method for censored regression model
• Composite quantile regression and the oracle model selection theory
• Inference for censored quantile regression models in longitudinal studies
• Approximation by randomly weighting method in censored regression model
• EFFICIENT REGRESSIONS VIA OPTIMALLY COMBINING QUANTILE INFORMATION
• Censored Regression Quantiles
• Local Composite Quantile Regression Smoothing: An Efficient and Safe Alternative to Local Polynomial Regression
• Mixed Effects Models with Censored Data with Application to HIV RNA Levels
• Semiparametric Time-Varying Coefficients Regression Model for Longitudinal Data

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