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Age Dependent Analysis And Modeling Of Prostate Cancer Data, Nana Osei Mensa Bonsu
Age Dependent Analysis And Modeling Of Prostate Cancer Data, Nana Osei Mensa Bonsu
USF Tampa Graduate Theses and Dissertations
Growth rate of prostate cancer tumor is an important aspect of understanding the natural history of prostate cancer. Using real prostate cancer data from the SEER database with tumor size as a response variable, we have clustered the cancerous tumor sizes into age groups to enhance its analytical behavior. The rate of change of the response variable as a function of age is given for each cluster. Residual analysis attests to the quality of the analytical model and the subject estimates. In addition, we have identified the probability distribution that characterize the behavior of the response variable and proceeded with …