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Early Prediction of Prostate Cancer in Young and Middle-Aged Adults

Principal Investigator
Name
Trent Arney
Degrees
B.S.B.A.
Institution
University of Arkansas
Position Title
Masters of Science in Economic Analytics Student
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1302
Initial CDAS Request Approval
Aug 22, 2023
Title
Early Prediction of Prostate Cancer in Young and Middle-Aged Adults
Summary
As the capstone project in my Masters of Science of Economic Analytics, I desire to explore the prevalence, causes, and symptoms of Prostate Cancer in order to ultimately better inform individuals if they are at risk for Prostate Cancer while the Prostate Cancer is either preventable or in early stages. I plan to produce these results by first cleaning the data (if needed), running correlation and hypothesis tests on the variables included within the dataset, introducing external data into the dataset if possible and/or relevant, and then developing a Logit Model to estimate the probability of young and middle-aged adults risk of developing Prostate Cancer. I then desire to highlight a few specific variables that the Logit Model indicates is important in the estimation of Prostate Cancer prevalence in order to inform young and middle-aged adults if they may be at risk and to consult medical professionals. By completing this process, my analysis may be able to alert some men that they are likely to have or develop Prostate Cancer as soon as possible, so that they may seek treatment quicker and curb suffering from the condition.
Aims

*Test whether certain characteristics are significantly correlated with the prevalence of Prostate Cancer
*Develop a Logit Model to provide the probability of specific individuals of developing Prostate Cancer and how soon
*Provide information to Medical Insurance providers to alert their clients if they may be at risk for Prostate Cancer.

Collaborators

Trent Arney - University of Arkansas