Survival prediction model for right-censored data based on improved composite quantile regression neural network

DOI10.3934/MBE.2022354OpenAlexW4284960006MaRDI QIDQ2688365

Yanyan Li

Publication date: 3 March 2023

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2022354

zbMATH Keywords

neural networkright-censored datafeature selectioncomposite quantile regressionwhale optimization algorithm

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Composite quantile regression and the oracle model selection theory
• Sparse estimation and inference for censored median regression
• Robust regression: Asymptotics, conjectures and Monte Carlo
• The MLE of the uniform distribution with right-censored data
• Deep learning for quantile regression under right censoring: deepquantreg
• Composite support vector quantile regression estimation
• Nonparametric Estimation from Incomplete Observations
• Regression Quantiles
• Marshall–Olkin frailty survival models for bivariate right-censored failure time data
• Weighted composite quantile regression with censoring indicators missing at random
• Composite kernel quantile regression

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