Smoothed Isotonic Estimators of a Monotone Baseline Hazard in the Cox Model

DOI10.1111/sjos.12321zbMath1407.62354arXiv1609.06617OpenAlexW2964277050MaRDI QIDQ4685452

Eni Musta, Hendrik P. Lopuhaä

Publication date: 8 October 2018

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1609.06617

zbMATH Keywords

bootstrapconfidence intervalsasymptotic normalitykernel smoothinghazard ratesmoothed maximum likelihood estimatorCox regression modelisotonic estimationsmoothed Grenander estimator

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09) Estimation in survival analysis and censored data (62N02)

Related Items (5)

Uniform moment bounds for the standard estimators in the Cox proportional hazard model ⋮ Isotonized smooth estimators of a monotone baseline hazard in the Cox model ⋮ On the L_p error of the Grenander‐type estimator in the Cox model ⋮ A unified study of nonparametric inference for monotone functions ⋮ Limit theory in monotone function estimation

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