[Bobrowski, L., Kretowska, M., & Kretowski, M. (1997). Design of neural classifying networks by using dipolar criterions. In proceedings of the Third Conference on Neural Networks and Their Applications, 14-18 October 1997 (pp. 689-694). Kule, Poland.]Search in Google Scholar
[Fyles, A. W., McCready, D. R., Manchul, L. A., Trudeau, M. E., Merante, P., Pintilie, M.,Weir, L. M., & Olivotto, I. A. (2004). Tamoxifen with or without breast irradiation in women 50 years of age or older with early breast cancer. New England Journal of Medicine, 351, 963-970.10.1056/NEJMoa040595]Search in Google Scholar
[Ibrahim, N. A., Kudus, A., Daud, I., & Abu Bakar, M. R. (2008). Decision tree for competing risks survival probability in breast cancer study. World Academyof Science, Engineering and Technology, 38, 15-19.]Search in Google Scholar
[Kalbfleisch, J. D., & Prentice, R. L. (1980). The statistical analysis of failure timedata. New York: John Wiley & Sons Ltd.]Search in Google Scholar
[Kretowska, M. (2006). Random forest of dipolar trees for survival prediction. In L. Rutkowski, R. Tadeusiewicz, L. A. Zadeh, & J. M. Zurada (Eds.), ICAISC 2006, LNCS (LNAI) 4029, 909-918.10.1007/11785231_95]Search in Google Scholar
[Kretowska,M. (2012). Competing Risks and Survival Tree Ensemble, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh, & J. M. Zurada (Eds.), ICAISC 2012, Part I, LNCS 7267, 387-393.10.1007/978-3-642-29347-4_45]Search in Google Scholar
[Marubini, E., & Valsecci, M. G. (1995). Analysing survival data from clinical trialsand observational studies. England: John Wiley & Sons Ltd.]Search in Google Scholar
[Pintilie, M. (2006). Competing Risks: A Practical Perspective. England: JohnWiley & Sons Ltd.10.1002/9780470870709]Search in Google Scholar
[Putter, H., Fiocco, M., & Geskus, R. B. (2007). Tutorial in biostatistics: Competing risks and multi-stage models. Statistics in Medicine, 26, 2389-2430.10.1002/sim.2712]Search in Google Scholar
