Competing Risk Methods in Early Breast Cancer Trials
Recent work on the analysis of failure time data with competing risks is reviewed and is discussed in relation to early breast cancer trials. Central to the discussion is the modelling, estimation and interpretation of cause-specific failure rates. Possible uses of such failure rate estimators are indicated for the study of differential treatment effects on local and distant recurrence and for the identification of dependent censorship.
KeywordsFailure Time Distant Recurrence Risk Indicator Failure Type Failure Time Data
Unable to display preview. Download preview PDF.
- Cox, D.R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statistical Society, Series B 34, 187–220.Google Scholar
- Peto, R., Pike, M.C., Armitage, P., Breslow, N.E., Cox, D.R., Howard, S.V., Mantel, N., McPherson, K., Peto, J., and Smith, P.G. (1976). Design and analysis of randomized clinical trials requiring prolonged observation of each patient. Part 1. Introduction and design. British Journal of Cancer 34, 585–612.Google Scholar
- Turnbull, B.W. and Mitchell, T.J. (1978). Exploratory analysis of disease prevalence from survival/sacrifice data. Biometrics 34, 555–570.Google Scholar