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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Procter, Marion and Robertson, Charles (2017) Imputing missing quality of life data as covariate in survival analysis of the International Breast Cancer Study Group Trials VI and VII. Communications in Statistics - Simulation and Computation. pp. 1-11. ISSN 0361-0918 (https://doi.org/10.1080/03610918.2017.1390123)

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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.

ORCID iDs

Procter, Marion ORCID logoORCID: https://orcid.org/0000-0002-1997-4417 and Robertson, Charles;
CORE (COnnecting REpositories)