 
								Parametric Modeling of Survival Times Among Breast Cancer Patients in a Teaching Hospital, Osogbo
								
									
										
											
											
												Phillip Oluwatobi Awodutire,
											
										
											
											
												Oladapo Adedayo Kolawole,
											
										
											
											
												Oluwatosin Ruth Ilori
											
										
									
								 
								
									
										Issue:
										Volume 5, Issue 5, September 2017
									
									
										Pages:
										81-85
									
								 
								
									Received:
										31 October 2016
									
									Accepted:
										21 November 2016
									
									Published:
										13 September 2017
									
								 
								
								
								
									
									
										Abstract: In Nigeria, Breast Cancer is the most common malignancy among women. Unfortunately, many breast cancer patients present for treatment late. Using a parametric survival model to predict the survival times of patients and contribution of the prognostic factors, the study focused on the 1-year survival of breast cancer patients from the day of presentation. A total 89 women, who were diagnosed with breast cancer in which 32.56% reported early for treatment from 2009 to 2014, were recorded. Age, stage of presentation, average years of breastfeeding, neoadjuvant treatment offered, age at menarche and use of contraceptives were the variables used in the study. The predictive model that can be used to predict survival times of breast cancer patients was obtained. The results showed that stage at presentation is significant at 0.05 significance level.
										Abstract: In Nigeria, Breast Cancer is the most common malignancy among women. Unfortunately, many breast cancer patients present for treatment late. Using a parametric survival model to predict the survival times of patients and contribution of the prognostic factors, the study focused on the 1-year survival of breast cancer patients from the day of present...
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