Journal of the Royal Statistical Society: Series A (Statistics in Society)

Cover image for Vol. 179 Issue 3

Edited By: H. Goldstein and L. Sharples

Impact Factor: 1.702

ISI Journal Citation Reports © Ranking: 2015: 13/49 (Social Sciences Mathematical Methods); 24/123 (Statistics & Probability)

Online ISSN: 1467-985X

Associated Title(s): Journal of the Royal Statistical Society: Series B (Statistical Methodology), Journal of the Royal Statistical Society: Series C (Applied Statistics), Significance


Building multivariable prognostic and diagnostic models: transformation of the predictors by using fractional polynomials, by W. Sauerbrei and P. Royston, Journal of the Royal Statistical Society, Series A, Statistics in Society, Volume 162, (1999), part 1, pages 71 - 94

The data are from the trial of the German Breast 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

Dataset (2K)