Comparison of variance estimation methods in semiparametric accelerated failure time models for multivariate failure time data
type: Item
instance of: scholarly article
title: Comparison of variance estimation methods in semiparametric accelerated failure time models for multivariate failure time data
zbMATH Open document ID: 1478.62302
author: Kyuhyun Kim
author: Jungyeol Ko
author: Sangwook Kang
published in: Japanese Journal of Statistics and Data Science
publication date: 2022-01-20T00:00:00Z
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7460399
zbMATH Keywords: induced smoothing
zbMATH Keywords: iterative methods
zbMATH Keywords: multiplier bootstrap
zbMATH Keywords: rank-based estimation
zbMATH Keywords: resampling
zbMATH Keywords: sandwich variance estimator
describes a project that uses: survival
describes a project that uses: aftgee
describes a project that uses: R
MaRDI profile type: Publication
full work available at URL: s42081-021-00126-y
OpenAlex ID: W3176119392
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DOI: 10.1007/S42081-021-00126-Y
description: scientific article; zbMATH DE number 7460399