Machine learning techniques, such as neural networks and rule induction, are becoming popular alternatives to traditional statistical techniques for solving classification problems. However, much of the research has been devoted to comparing performances upon sample data sets, with little...

In this article, for the first time, we propose the negative binomial--beta Weibull (BW) regression model for studying the recurrence of prostate cancer and to predict the cure fraction for patients with clinically localized prostate cancer treated by open radical prostatectomy. The cure model...

Background: The REDUCE trial examined whether chemoprevention with the dual 5-alpha reductase inhibitor, dutasteride, reduced risk of prostate cancer (PCa) detection on biopsy. Objective: We examined the cost effectiveness of dutasteride compared with placebo in preventing PCa in men at...

Background: Although 5-alpha reductase inhibitors (5ARIs) have demonstrated that they reduce the risk of prostate cancer (PCa), they have not demonstrated cost effectiveness in the patient populations in which they have been examined. Objective: A decision-analytic model was created to explore...