Inference for Low-Dimensional Covariates in a High-Dimensional Accelerated Failure Time Model

DOI10.5705/ss.202016.0449zbMath1421.62148OpenAlexW2778586139WikidataQ91900422 ScholiaQ91900422MaRDI QIDQ5226613

Jian Huang, Shuangge Ma, Hao Chai, Qing-Zhao Zhang

Publication date: 1 August 2019

Published in: Statistica Sinica (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6502249

zbMATH Keywords

AFT modelcensored survival datahigh-dimensional inference

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Censored data models (62N01) Reliability and life testing (62N05)

Related Items (5)

High-dimensional robust inference for censored linear models ⋮ Efficient estimation of the maximal association between multiple predictors and a survival outcome ⋮ -Penalized Pairwise Difference Estimation for a High-Dimensional Censored Regression Model ⋮ Double-slicing assisted sufficient dimension reduction for high-dimensional censored data ⋮ Marginal false discovery rate for a penalized transformation survival model

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