Sieve maximum likelihood estimation for a general class of accelerated hazards models with bundled parameters

DOI10.3150/16-BEJ850zbMath1384.62121OpenAlexW2616945641MaRDI QIDQ2405160

Xingqiu Zhao, Guosheng Yin, Yuan Shan Wu

Publication date: 21 September 2017

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bj/1495505096

zbMATH Keywords

convergence ratesurvival dataCox modelproportional hazards modelB-splineaccelerated failure time modelsemiparametric efficiency boundsieve maximum likelihood estimatorDonsker propertyaccelerated hazard regression model

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Censored data models (62N01) Reliability and life testing (62N05)

Related Items (3)

High-dimensional robust inference for censored linear models ⋮ Survival Analysis via Ordinary Differential Equations ⋮ Generalized accelerated hazards mixture cure models with interval-censored data

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