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

Authors :
Procter, Marion
Robertson, Chris
Source :
Communications in Statistics: Simulation & Computation. 2019, Vol. 48 Issue 2, p580-590. 11p.
Publication Year :
2019

Abstract

Quality of life (QoL) was an important endpoint in the adjuvant breast cancer trials International Breast Cancer Study Group (IBCSG) Trial VI and VII. Here, QoL was considered as a time-dependent effect. The hypothesis explored is that poorer QoL throughout the trial is associated with poorer disease-free survival (DFS) and vice-versa. Potential bias in the parameter estimates is an important concern associated with missing observations. Standard simple and multiple imputation methods were applied to missing QoL assessments before analysis in a time-dependent Cox model. There was no evidence that the patient's QoL is related to the patient's DFS. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03610918
Volume :
48
Issue :
2
Database :
Academic Search Index
Journal :
Communications in Statistics: Simulation & Computation
Publication Type :
Academic Journal
Accession number :
135671971
Full Text :
https://doi.org/10.1080/03610918.2017.1390123