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*

DOI10.1080/03610918.2018.1473587OpenAlexW2886427273WikidataQ114639915 ScholiaQ114639915MaRDI QIDQ5087979

Chris Robertson, Marion Procter

Publication date: 4 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/70814/

zbMATH Keywords

simulation studyquality of lifeimputation methodsmissing data mechanismtime-dependent Cox model

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Design and Analysis of Quality of Life Studies in Clinical Trials
• Inference and missing data
• Imputing missing quality of life data as covariate in survival analysis of the International Breast Cancer Study Group Trials VI and VII

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