Análisis estadístico implicativo para la identificación de factores pronósticos en la mortalidad por cáncer de mama, Solca 2017-2018

Abstract

The current research work aimed to statistically analyze the prognostic factors of breast cancer mortality registered by the Society for the Fight Against Cancer of Riobamba, period 2017-2018, the variables registered in the system of mentioned entity which were results of the tests carried out on patients suffering from breast cancer were studied, the study used techniques such as: Implicative Analysis, Logistic Regression (RL) and Contingency Tables with the support of software such as R version 3.5.2, SPSS 24 and Microsoft Excel 2018 spreadsheet. Through univariate descriptive statistical analysis, it was determined that the most vulnerable breast cancer patients are 99% female, married and of mixed ethnicity. It was also demonstrated by non-parametric techniques that the variables level of education, marital status and occupation are not associated with mortality from breast cancer, suggesting that they have no statistical significance at the time of contracting this disease. Its logistic regression model achieved a squared r of 0.73 using the Cox and Snell coefficient and associating in a good way the classification of this disease by stages with the variables dimension of the tumor, location of the cancer, report of the disease and tumor marker CA 15.3.