gbc: A subset of the German Breast Cancer study data
In WR: Win Ratio Analysis of Composite Time-to-Event Outcomes
Description
Usage
Format
References
Description
These are a subset of the German Breast Cancer study data.
Usage
1
Format
A data frame with 985 rows and 12 variables:
- id
subject IDs
- time
event times (months)
- status
event status; 0:censoring, 1:death, 2:cancer recurrence
- hormone
treatment indicator: 1=Hormone therapy; 2=standard therapy
- age
age at diagnosis (years)
- menopause
menopausal Status; 1=No; 2=Yes
- size
tumor size
- grade
tumor grade, 1-3
- nodes
number of nodes involved
- prog_recp
number of progesterone receptors
- estrg_recp
number of estrogen receptors
References
Sauerbrei, W., Royston, P., Bojar, H., Schmoor, C. and Schumacher, M.
(1999). Modelling the effects of standard prognostic factors in node-positive
breast cancer. German Breast Cancer Study Group (GBSG). British Journal of Cancer,
79, 1752–1760.
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
WR documentation built on Nov. 27, 2021, 1:06 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Format References
Description
These are a subset of the German Breast Cancer study data.
Usage
1 |
Format
A data frame with 985 rows and 12 variables:
- id
subject IDs
- time
event times (months)
- status
event status; 0:censoring, 1:death, 2:cancer recurrence
- hormone
treatment indicator: 1=Hormone therapy; 2=standard therapy
- age
age at diagnosis (years)
- menopause
menopausal Status; 1=No; 2=Yes
- size
tumor size
- grade
tumor grade, 1-3
- nodes
number of nodes involved
- prog_recp
number of progesterone receptors
- estrg_recp
number of estrogen receptors
References
Sauerbrei, W., Royston, P., Bojar, H., Schmoor, C. and Schumacher, M. (1999). Modelling the effects of standard prognostic factors in node-positive breast cancer. German Breast Cancer Study Group (GBSG). British Journal of Cancer, 79, 1752–1760.
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.