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Journal of Applied Sciences
  Year: 2010 | Volume: 10 | Issue: 1 | Page No.: 37-44
DOI: 10.3923/jas.2010.37.44
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Statistical Modeling of Breast Cancer Relapse Time with Different Treatments

C. Cong and C.P. Tsokos

In the present study, we extended the work that was published in performing statistical modeling on the breast cancer data containing patients in two different treatments, namely radiation plus tamoxifen and tamoxifen alone and compared the results and identified the attributable variables along with interactions that relates to reoccurrence of breast cancer based on the consistent results obtained from accelerated failure time model and cox proportional hazard model where interactions of attribute variables are introduced. Cox proportional hazard model is also chosen over accelerated failure time model to calculate the appropriate survival curves of relapse time for patients in different treatment groups. In addition, we have developed and applied the cure rate model which gives a better insight on the cure rate of the two breast cancer treatments from a different perspective.
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  •    Medical Data Classification with Naive Bayes Approach
  •    Expression of Epidermal Growth Factor Receptor Tyrosine Kinase Family in Fine Needle Aspiration and Permanent Specimens of Invasive Lobular and Ductal Breast Cancers
  •    An Analytical Approach on Cure Rate Estimation Based on Uncensored Data
How to cite this article:

C. Cong and C.P. Tsokos, 2010. Statistical Modeling of Breast Cancer Relapse Time with Different Treatments. Journal of Applied Sciences, 10: 37-44.

DOI: 10.3923/jas.2010.37.44






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