Quantile Regression for Recurrent Gap Time Data

DOI10.1111/biom.12010zbMath1274.62832OpenAlexW2103555197WikidataQ30598269 ScholiaQ30598269MaRDI QIDQ2846445

Lan Wang, Xianghua Luo, Chiung-Yu Huang

Publication date: 5 September 2013

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4123128

zbMATH Keywords

quantile regressionrecurrent eventsgap timesclustered survival datadata perturbationwithin-cluster resampling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02) Fuzziness, and survival analysis and censored data (62N86)

Related Items (8)

Laplace regression with clustered censored data ⋮ Buckley–James-type estimation of quantile regression with recurrent gap time data ⋮ A class of partially linear transformation models for recurrent gap times ⋮ A predictive leverage statistic for quantile regression with measurement errors ⋮ On a general class of semiparametric hazards regression models for recurrent gap times ⋮ Quantile regression under memory constraint ⋮ Estimation in quantile regression models for correlated data with diverging number of covariates and large cluster sizes ⋮ Additive mixed effect model for recurrent gap time data

Uses Software

• quantreg

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