Open Access
MATEC Web of Conferences
Volume 60, 2016
2016 3rd International Conference on Chemical and Biological Sciences
Article Number 03007
Number of page(s) 5
Section Applied Chemistry
Published online 08 June 2016
  1. Philippine Breast Cancer Network”(n.d.) Retrieved October 28, 2015 from [Google Scholar]
  2. PHL has highest breast cancer rate in Asia”(2013, October 2). Retrieved October 28, 2015 from [Google Scholar]
  3. What is breast cancer?” (2015, June 10). Retrieved October 28, 2015 from [Google Scholar]
  4. Symptoms of Breast Cancer” (2014). Retrieved November 10, 2015 from [Google Scholar]
  5. Breast Cancer” (n.d.). Retrieved October 28, 2015 from [Google Scholar]
  6. Breast Cancer Treatment” (n.d.) Retrieved December 11, 2015 from [Google Scholar]
  7. Surgery” (2014) Retrieved December 11, 2015 from [Google Scholar]
  8. Chemotherapy” (2015) Retrieved December 11, 2015 from [Google Scholar]
  9. Hormone Therapy for Breast Cancer” (2012) Retrieved December 11, 2015 from [Google Scholar]
  10. Radiotherapy for Primary Breast Cancer” (2014) Retrieved December 11, 2015 from [Google Scholar]
  11. The ABCs of breast cancer” (n.d.). Retrieved October 28, 2015 from [Google Scholar]
  12. What is SPSS?” (n.d.) Retrieved November 11, 2015 from [Google Scholar]
  13. Logistic Regression” (2015, October 22). Retrieved October 28, 2015 from [Google Scholar]
  14. Assumptions of Logistic Regression” (n.d.). Retrieved October 28, 2015 from [Google Scholar]
  15. An Introduction to Logistic Regression Analysis and Reporting” (n.d.) Retrieved November 12,2015 from [Google Scholar]
  16. Explaining Odds Ratios” (August, 2010). Retrieved November 12, 2015 from [Google Scholar]
  17. Youlden, Danny R., Cramb, Susanna M., Cheng Har Yip & Baade, Peter D. (2014). “Incidence and mortality of female breast cancer in the Asia-Pacific region” Retrieved from [Google Scholar]
  18. Hassan MS, Ansari J, Spooner D & Hussain SA. (2010). “Chemotherapy for Breast Cancer” Retrieved from [Google Scholar]
  19. P A Ganz, J H Rowland, K Desmond, B E Meyerowitz& G E Wyatt (2005) “Life after Breast Cancer: Understanding women’s health-related quality of life and sexual functioning” Retrieved from [Google Scholar]
  20. DursunDelen, Glenn Walker & Amit Kadam (2005). “Predicting Breast Cancer Survivability: A comparsion of three data mining methods” Retrieved from [Google Scholar]
  21. Herman Host M.D. &Eiliv Lund M.D. (2006). “Age as a prognostic factor in breast cancer” Retrieved from;2-T/abstract [Google Scholar]
  22. S.E. Pinder, I.O. Ellis, M. Galea, S.O’Rouke, R.W. Blamey &C.W. Elston (2007). “Pathological prognostic factors in breast cancer. III. Vascular Invasion: relationship with recurrence and survival in a large study with long-term follow up” Retrieved from [Google Scholar]
  23. Graham A. Colditz, MBBS; Walter C. Willett,MD; David J. Hunter, MBBS; Meir J. Stampfer, MD; Joann E. Manson,MD; Charles H. Hennekens,MD; Bernard A. Rosner,PhD& Frank E. Speizer,MD (1993). “Family History, Age, and Risk of Breast Cancer – Prospective Data from the Nurses’ Health Study” Retrieved from [Google Scholar]
  24. SarojNiraula, Alberto Ocana, Marguerite Ennis &Pamela J. Goodwin (2012). “Body size and breast cancer prognosis in relation to hormone receptor and menopausal status: a meta-analysis” Retrieved from [Google Scholar]
  25. Walpole, Ronald E., Myers, Raymond H., Myers, Sharon L., & Ye, Keying (2007) “Scientists & Engineers guide to probability and statistics”: Pearson Education, Inc. [Google Scholar]
  26. SPSS Tutorials: Binary Logistic Regression” Retrieved from [Google Scholar]
  27. Logistic Regression – Interpretation of Coefficients and Forecasting” Retrieved from [Google Scholar]
  28. Logistic Regression – Introduction” Retrieved from [Google Scholar]
  29. Logistic Regression – SPSS (Part 1)” Retrieved from [Google Scholar]
  30. Logistic Regression – SPSS (Part 2)” Retrieved from [Google Scholar]
  31. Logistic Regression – SPSS (Part 3)” Retrieved from [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.