NAME: German Breast Cancer Study Data (gbc.txt) (gbc_mort.txt contains the subset of mortality data) SIZE: 686 Observations, 11 Variables SOURCE: German Breast Cancer Study REFERENCE: Hosmer, D.W. and Lemeshow, S. and May, S. (2008) Applied Survival Analysis: Regression Modeling of Time to Event Data: Second Edition, John Wiley and Sons Inc., New York, NY Description of the Study: Cancer clinical trials are a rich source for examples of applications of methods for the analysis of time to event. Willi Sauerbrei and Patrick Royston have graciously provided us with data obtained from the German Breast Cancer Study Group, which they used to illustrate methods for building prognostic models (Sauerbrei and Royston, 1999). In the main study, a total of 720 patients with primary node positive breast cancer were recruited between July 1984, and December 1989, (see Schmoor, Olschweski and Schumacher M. 1996 and Schumacher et al. (1994)). List of variables: Variable Name Description Codes/Values ************************************************************************************ 1 id Study ID 1 - 686 2 time Time to Recurrence/ death/censoring Months 3 status Event type 0 = censoring 1 = cancer relapse 2 = death 4 hormone Hormone Therapy 1 = No, 2 = Yes 5 age Age at Diagnosis Years 6 meno Menopausal Status 1 = No, 2 = Yes 7 size Tumor Size mm 8 grade Tumor Grade 1 - 3 9 nodes Number of Nodes 1 - 51 involved 10 prog Number of Progesterone 1 - 2380 Receptors 11 estrg Number of Estrogen 1 - 1144 Receptors