Quantile Regression Adjusting for Dependent Censoring from Semicompeting Risks

DOI10.1111/RSSB.12063zbMath1414.62136OpenAlexW2062647281WikidataQ34822492 ScholiaQ34822492MaRDI QIDQ5379901

Limin Peng, Ruosha Li

Publication date: 14 June 2019

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4283952

zbMATH Keywords

copulaquantile regressiondependent censoringstochastic integral equationsemicompeting risks

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) Reliability and life testing (62N05) Stochastic integral equations (60H20)

Related Items (5)

Generalized Link-Based Additive Survival Models with Informative Censoring ⋮ Covariate-adjusted quantile inference with competing risks ⋮ Joint model-free feature screening for ultra-high dimensional semi-competing risks data ⋮ Modeling semi‐competing risks data as a longitudinal bivariate process ⋮ Quantile regression based on counting process approach under semi-competing risks data

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