Imputing missing quality of life data as covariate in survival analysis of the International Breast Cancer Study Group Trials VI and VII

DOI10.1080/03610918.2017.1390123OpenAlexW2766694755MaRDI QIDQ5086174

Marion Procter, Chris Robertson

Publication date: 1 July 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://strathprints.strath.ac.uk/64932/

zbMATH Keywords

multiple imputationquality of lifeinformative missing datasimple imputationtime-dependent Cox modelpotential bias

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Performance of standard imputation methods for missing quality of life data as covariate in survival analysis based on simulations from the International Breast Cancer Study Group Trials VI and VII*

Cites Work

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• Design and Analysis of Quality of Life Studies in Clinical Trials
• Non-Ignorable Missing Covariate Data in Survival Analysis: A Case-Study of an International Breast Cancer Study Group Trial
• Assessing Secular Trends in Blood Pressure: A Multiple-Imputation Approach
• A class of pattern-mixture models for normal incomplete data
• Pattern-Mixture Models for Multivariate Incomplete Data with Covariates
• Pattern-Mixture Models for Multivariate Incomplete Data
• Modeling the Drop-Out Mechanism in Repeated-Measures Studies

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