Buckley-James boosting for survival analysis with high-dimensional biomarker data

DOI10.2202/1544-6115.1550zbMath1304.92101OpenAlexW1996465102WikidataQ33624066 ScholiaQ33624066MaRDI QIDQ2254461

C. Y. Wang, Zhu Wang

Publication date: 5 February 2015

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2904263

zbMATH Keywords

variable selectionboostingcensored survival dataLASSOaccelerated failure time modelBuckley-James estimator

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Genetics and epigenetics (92D10)

Related Items (4)

Empirical Likelihood for Censored Linear Regression and Variable Selection ⋮ Bi-level feature selection in high dimensional AFT models with applications to a genomic study ⋮ Unbiased Boosting Estimation for Censored Survival Data ⋮ An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models

Uses Software

• hgam

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