Identify attributable variables and interactions in breast cancer

Journal of Applied Sciences

Volumn 11, Issue 6, 2011, Pages 1033-1038

  Xu, Yong ^a   Kepner, James ^b   Tsokos, Chris P ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b AMERICAN CANCER SOCIETY   (United States)

Author keywords

Breast cancer; Statistical modeling; Survival analysis; Tumor size simulation

Indexed keywords

EID: 79958853389     PISSN: 18125654     EISSN: 18125662     Source Type: Journal    
DOI: 10.3923/jas.2011.1033.1038     Document Type: Article

References (13)

1. Allen, D.M., 1971. The prediction sum of squares as a criterion for selecting predictor variables. Technical Report No. 23, Department of Statistics, University of Kentucky.
2. Allen, D.M., 1974. The relationship between variable selection and data augmentation and a method for prediction. Technometrics, 16: 125-127.
3. Box, G.E.P. and D.R. Cox, 1964. An analysis of transformation. J. Roy. Stat. Soci., 26: 211-252.
4. Brawley, O.W., 2009. Is race really a negative prognostic factor for cancer. J. Nat. Cancer Instil, 101:970-971.
5. Eleni, A. and N.H. Gabriel, 2008. Prognostic factors in metastatic breast cancer successes and challenges toward individualized therapy. J. Clin. Oncol., 26: 3360-3662.
6. Freedman, R A., Y. He, E.P. Winer and N.L. Keating, 2009. Trends in racial and age disparities in definitive local therapy of early-stage breast cancer. J. Clin. Oncol., 27: 713-719.
7. Habibi, G., S. Leung, J.H. Law, K. Gelmon and H. Masoudi et al., 2008. Redefining prognostic factors for breast cancer: YB-1 is a stronger predictor of relapse and disease-specific survival than estrogen receptor or HER-2 across all tumor subtyples. BCR., 10: 86
8. Ibrahim, N.A., A. Kudus, I. Daud and M.R. Abu-Bakar, 2008. Decision tree for competing risks survival probability in breast cancer study. World Acad. Sci. Eng. Technol., 38: 15-19.
9. National Cancer Institue, 2010. Breast cancer. http://www.cancer.gov/cancertopics/types/breast.
10. Qiu, P. and C.P. Tsokos, 2000. Accelerated life-testing model building with Box-Cox transformation. SankhyaldianJ. Stat, 62: 223-235.
11. Shang, L.C. and T.M.G. Jeremy, 2002. A semi-parametric accelerated failure time cure model. Stat. Med., 21: 3235-3247.
12. Shapiro, S.S. and M.B. Wilk, 1965. An analysis of variance test for normality (Complete samples). Biometnka, 52: 591-611.
13. Taj Uddin, M., M.N. Islam and Q.I.U. Ibrahim, 2006. An analytical approach on cure rate estimation based on uncensored data. J. Applied Sci., 6: 548-552.