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Breast cancer is the commonest cancer in women and characterized by regional variations which is prevalently common in low and middle income countries including Nigeria. It is now the most common disease and the second leading cause of death among women. . This study assessed the reported cases of breast cancer for both rural and urban women in University Teaching Hospital Gwagwalada Abuja. The main objectives are to determine the trend movement of the disease and to forecast the trend of the disease. The statistical techniques used for the analysis are logistic regression and auto regressive moving average (ARMA). The result of the analysis revealed that age of cancer patients does not affect chances of survival or death and we used the best model to forecast next eleven cancer victim ages, which ranges between 36 to 56 years.
Abnormal growth, ARMA, Cancer, Time series
Olanrewaju S.O. , Sanni Mary , Oguntade E.S. "Analysis Of Reported Cases Of Breast Cancer In Abuja, Nigeria: A Time Series Approach" Iconic Research And Engineering Journals Volume 3 Issue 9 2020 Page 59-69
Olanrewaju S.O. , Sanni Mary , Oguntade E.S. "Analysis Of Reported Cases Of Breast Cancer In Abuja, Nigeria: A Time Series Approach" Iconic Research And Engineering Journals, 3(9)