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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.
- 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