A multiple imputation approach to the analysis of clustered interval-censored failure time data with the additive hazards model
type: Item
instance of: scholarly article
title: A multiple imputation approach to the analysis of clustered interval-censored failure time data with the additive hazards model
zbMATH Open document ID: 1466.62042
author: Ling Chen
author: Jianguo Sun
author: Chengjie Xiong
published in: Computational Statistics and Data Analysis
publication date: 2018-08-15T00:00:00Z
full work available at URL: pmc5072417
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 6918226
zbMATH Keywords: additive hazards model
zbMATH Keywords: clustered interval-censored data
zbMATH Keywords: multiple imputation
zbMATH Keywords: within-cluster resampling
MaRDI profile type: Publication
OpenAlex ID: W4236801227
Wikidata QID: Q31138604
cites work: Regression estimation using multivariate failure time data and a common baseline hazard function model
cites work: Within-cluster resampling
cites work: Regression analysis of clustered interval-censored failure time data with the additive hazards model
cites work: Semiparametric analysis of the additive risk model
cites work: A Multiple Imputation Approach to Cox Regression with Interval‐Censored Data
cites work: Q4654005
cites work: Regression analysis of clustered interval-censored failure time data with informative cluster size
DOI: 10.1016/J.CSDA.2016.05.011
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description: scientific article; zbMATH DE number 6918226