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

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)

[thumbnail of Procter-Robertson-CSSC2017-Imputing-missing-quality-of-life-data-as-covariate-in-survival]
Preview
 Text. Filename: Procter_Robertson_CSSC2017_Imputing_missing_quality_of_life_data_as_covariate_in_survival.pdf
Accepted Author Manuscript
Download (501kB)| Preview

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)