Scalable algorithms for semiparametric accelerated failure time models in high dimensions

Semiparametric accelerated failure time (AFT) models are a useful alternative to Cox proportional hazards models, especially when the assumption of constant hazard ratios is untenable. However, rank‐based criteria for fitting AFT models are often nondifferentiable, which poses a computational challe...

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Bibliographic Details
Published in:	Statistics in medicine Vol. 41; no. 6; pp. 933 - 949
Main Authors:	Suder, Piotr M., Molstad, Aaron J.
Format:	Journal Article
Language:	English
Published:	England Wiley Subscription Services, Inc 15.03.2022
Subjects:	accelerated failure time model Algorithms bilevel variable selection Computer Simulation convex optimization Gehan estimator Humans Least-Squares Analysis Models, Statistical Proportional Hazards Models semiparametrics survival analysis accelerated failure time model convex optimization Gehan estimator semiparametrics survival analysis bilevel variable selection
ISSN:	0277-6715, 1097-0258, 1097-0258
Online Access:	Get full text
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