A data frame of 295 patients with breast cancer. The included variables are
Patient identification number
Survival status; 1 = death; 0 = censored
Time in years until death or last follow-up
Diameter of the primary tumor
Number of positive lymph nodes
Age of the patient
Estrogen level?
Chemotherapy used (yes/no)
Hormonal therapy used (yes/no)
Type of surgery (excision or mastectomy)
Histological grade (Intermediate, poorly, or well differentiated)
Vascular invasion (-, +, or +/-)
??
Estrogen level?
A data frame, see data.frame
.
van't Veer LJ, Dai HY, van de Vijver MJ, He YDD, Hart AAM, Mao M, Peterse HL, van der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R \& Friend SH (2002). Gene expression profiling predicts clinical outcome of breast cancer. Nature 415, 530–536.
van de Vijver MJ, He YD, van 't Veer LJ, Dai H, Hart AAM, Voskuil DW, Schreiber GJ, Peterse JL, Roberts C, Marton MJ, Parrish M, Atsma D, Witteveen A, Glas A, Delahaye L, van der Velde T, Bartelink H, Rodenhuis S, Rutgers ET, Friend SH \& Bernards R (2002). A gene-expression signature as a predictor of survival in breast cancer. New England Journal of Medicine 347, 1999–2009.
van Houwelingen HC, Bruinsma T, Hart AAM, van't Veer LJ \& Wessels LFA (2006). Cross-validated Cox regression on microarray gene expression data. Statistics in Medicine 25, 3201–3216.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.