Efficient computation of nonparametric survival functions via a hierarchical mixture formulation
type: Item
instance of: scholarly article
published in: Statistics and Computing
volume: 23
issue: 6
page(s): 713-725
publication date: 2012-07-13T00:00:00Z
publication date: 2015-10-16T00:00:00Z
author: Yong Wang
author: Stephen M. Taylor
author: Stephen Taylor
title: Efficient computation of nonparametric survival functions via a hierarchical mixture formulation
zbMATH Open document ID: 1322.62237
full work available at URL: http://hdl.handle.net/10292/10711
Mathematics Subject Classification ID: 62N01
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6495100
zbMATH Keywords: nonparametric maximum likelihood
zbMATH Keywords: survival function
zbMATH Keywords: interval censoring
zbMATH Keywords: clinical trial
zbMATH Keywords: constrained Newton method
zbMATH Keywords: disease-free survival
describes a project that uses: Icens
describes a project that uses: MLEcens
MaRDI profile type: Publication
OpenAlex ID: W2061997221
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DOI: 10.1007/S11222-012-9341-9
description: scientific article; zbMATH DE number 6495100