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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Vydané v:	Statistics in medicine Ročník 41; číslo 6; s. 933 - 949
Hlavní autori:	Suder, Piotr M., Molstad, Aaron J.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Wiley Subscription Services, Inc 15.03.2022
Predmet:	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
On-line prístup:	Získať plný text
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