Statistical analysis involving the identification of mortality prediction factors due to lung cancer

Abstract

An observational and analytic study to evaluate the usefulness of a new technique of statistical analysis involving the prediction factors identification of a clinical entity in Santiago de Cuba, was carried out from September, 2013 to the same month in 2014, in this case lung cancer was selected for being the most frequent malignancy in the territory. As prediction factors of lung tumors, according to the logistical regression the nodular involvement, the metastasis and the central localization of the tumor were identified, and according to the statistical involving analysis, the nodular involvement, and metastasis, histologic differentiation stage III and advanced stage were detected. The statistical involving analysis turned out to be an appropriate technique that supplements logistical regression in the prediction factors identification, because a better understanding of the causation is achieved and the quality of this investigation increases.

Keywords

• análisis estadístico implicativo, regresión logística, cáncer del pulmón, factores pronósticos.