Medicine and Health Sciences Commons^™

Model-Based Survival Estimates Of Female Breast Cancer Data, Hafiz Mohammad Rafiqullah Khan, Anshul Saxena, Kemesha Gabbidon, Sagar Rana, Nasar Uddin Ahmed

USF St. Petersburg campus Faculty Publications

Background: Statistical methods are very important to precisely measure breast cancer patient survival times for healthcare management. Previous studies considered basic statistics to measure survival times without incorporating statistical modeling strategies. The objective of this study was to develop a data-based statistical probability model from the female breast cancer patients’ survival times by using the Bayesian approach to predict future inferences of survival times. Materials and Methods: A random sample of 500 female patients was selected from the Surveillance Epidemiology and End Results cancer registry database. For goodness of fit, the standard model building criteria were used. The Bayesian approach …