Model-free predictor tests in survival regression through sufficient dimension reduction

DOI10.1007/S10985-010-9187-4zbMath1230.62059OpenAlexW2014115459WikidataQ39821058 ScholiaQ39821058MaRDI QIDQ719036

Jae Keun Yoo, Keunbaik Lee

Publication date: 27 September 2011

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-010-9187-4

zbMATH Keywords

sufficient dimension reductioninverse regressionordinary least squarepredictor testssurvival regression

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Estimation in multivariate analysis (62H12) Reliability and life testing (62N05)

Related Items (2)

Multivariate seeded dimension reduction ⋮ A theoretical note on optimal sufficient dimension reduction with singularity

Cites Work

• Dimension reduction for censored regression data
• Variable selection for Cox's proportional hazards model and frailty model
• Optimal sufficient dimension reduction for the conditional mean in multivariate regression
• Sliced Inverse Regression for Dimension Reduction
• Bayesian Variable Selection Method for Censored Survival Data
• Bayesian Information Criterion for Censored Survival Models
• Sufficient Dimension Reduction via Inverse Regression

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