NAME: 
German Breast Cancer Study Data (gbcs.dat)

SIZE: 
686 Observations, 16 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

DESCRITPTIVE ABSTRACT:
Description of the variables in the German Breast Cancer Study (GBCS) dataset shown
in Table 1.4 of reference text.

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)). 

DISCLAIMER:  
This data is also available at the following Wiley's FTP site: 
ftp//ftp.wiley.com/public/sci_tech_med/survival

LIST OF VARIABLES: 

Variable	Name		     Description                   Codes/Values
************************************************************************************
1               id                   Study ID                      1 - 686
2               diagdate             Date of Diagnosis             ddmmmyyyy
3               recdate              Date of Recurrence or         ddmmmyyyy
                                      of Recurrence Free Survival
4               deathdate            Date of Death                 ddmmmyyyy
5               age                  Age at Diagnosis              Years
6               menopause            Menopausal Status             1 = Yes, 2 = No
7               hormone              Hormone Therapy               1 = Yes, 2 = No
8               size                 Tumor Size                    mm
9               grade                Tumor Grade                   1 - 3
10              nodes                Number of Nodes               1 - 51
                                       involved
11              prog_recp            Number of Progesterone        1 - 2380
                                       Receptors
12              estrg_recp           Number of Estrogen            1 - 1144
                                       Receptors
13              rectime              Time to Recurrence            Days
14              censrec              Recurrence Censoring          0 = Censored
                                                                   1 = Recurrence
15              survtime             Time to Death                 Days
16              censdead             Death Censoring               0 = Censored
                                                                   1 = Death