|
Readme file
SERIES A
 Statistics in Society
Building multivariable prognostic and diagnostic models: transformation of
the predictors by using fractional polynomials, by W. Sauerbrei and P. Royston,
Journal of the Royal Statistics Society, Series A, Statistics in Society, Volume
162, (1999), part 1, pages 71 - 94
The data are from the trial of the German Brest Cancer Study Group as described in the
paper and the references given therein. We list the original data of all 686 patients and
the corresponding variables as used in the paper.
Description of the variables
Running-ID Hormonal Therapy (0- no treatment, 1-treatment)
age (X1; in years)
menopausal status (X2; 1- premenopausal,2- postmenopausal)
Tumour size (X3; in mm)
Tumour grade (X4; 1,2,3)
Number of positive nodes (X5)
Progesterone receptor (X6; in fmol)
Estrogen receptor (X7; in fmol)
Recurrence free survival time (in days) Censoring Indicator (0- censored, 1- event ).
For further information contact:
Dr. W. Sauerbrei
Inst. for Medical Biometry and Informatics
University of Freiburg
Stefan-Meier-Str. 26
D-79104 Freiburg
Tel **49 761 203-6669
Fax **49 761 203-6677
email: wfs@imbi.uni-freiburg.de
|
Journals SERIES A
Statistics in
Society
SERIES B
Statistical
Methodology
SERIES C
Applied Statistics
SERIES D
The
Statistician
|
