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.
Original language | English |
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Pages (from-to) | 1-11 |
Number of pages | 11 |
Journal | Communications in Statistics - Simulation and Computation |
Early online date | 30 Oct 2017 |
DOIs | |
Publication status | Published - 15 Dec 2017 |
Keywords
- informative missing data
- multiple imputation
- potential bias
- qualify of life
- simple imputation
- time-dependent Cox model
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Data for: "Imputing missing quality of life data as covariate in survival analysis of the International Breast Cancer Study Group Trials VI and VII"
Procter, M. (Creator) & Robertson, C. (Creator), figshare, 24 Mar 2023
DOI: 10.6084/m9.figshare.5553430.v2, https://doi.org/10.6084/m9.figshare.5553430.v1
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