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MEDISAN

On-line version ISSN 1029-3019

Abstract

MORAGA RODRIGUEZ, Alina et al. Statistical analysis involving mortality prediction factors for the identification of prostate cancer. MEDISAN [online]. 2018, vol.22, n.1, pp.48-56. ISSN 1029-3019.

An observational and analytic investigation was carried out, from September, 2013 to the same month in 2014, with the purpose of evaluating the usefulness of a new technique of involving statistical analysis for the identification of mortality prediction factors for prostate cancer in Santiago de Cuba. According to the logistical regression, the factors that worsened the prediction in the patients with prostate cancer were the ganglionic disorder and the grade III of the histological differentiation, and according to the involving statistical analysis, the ganglionar disorder, the metastasis and complications. The involving statistical analysis supplemented the logistical regression in the identification of the prediction factors, with which a better understanding of the causation was achieved and there was an increase in the quality of this type of study

Keywords : involving statistical analysis; prostate cancer; prediction factors.

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