ESTUDIO DEL RIESGO CARDIOVASCULAR EN EL MUNICIPIO DE SANTA CLARA UTILIZANDO EL MÉTODO DE REGRESIÓN CATEGÓRICA

Authors

  • Juan Manuel Navarro-Céspedes Departamento de Matemática, Facultad MFC, Universidad Central “Marta Abreu” de Las Villas
  • Gladys M. Casas-Cardoso Departamento de Computación, Facultad MFC, Universidad Central “Marta Abreu” de Las Villas
  • Emilio González-Rodríguez Centro de Desarrollo de la Electrónica, Universidad Central “Marta Abreu” de Las Villas
  • Santiago Cuadrado-Rodríguez Centro de Desarrollo de la Electrónica, Universidad Central “Marta Abreu” de Las Villas

Keywords:

categorical regression, cardiovascular risk, categorical data analysis

Abstract

This paper shows an application of the regression analysis method using categorical data. Data have been obtained from
five clinics of the Santa Clara City, Cuba. 849 cases were diagnosed by a highly qualified Medical Doctors Committee. 18
categorical predictor variables and a continuous variable RiesgoC (cardiovascular risk) were used in the analysis. Initially,
the standard regression analysis was applied. The determination coefficient obtained was R2=0.643. Standardized residuals
plot showed that there was not normal distribution. Categorical Regression Procedure of SPSS software was then applied.
R2 was now 0.833 and the standardized residuals plot showed that there was normal distribution. The categorical regression
analysis proved to be an important method when the most of the predictor variables are categorical.

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Published

2023-06-09

How to Cite

Navarro-Céspedes, J. M., Casas-Cardoso, G. M., González-Rodríguez, E., & Cuadrado-Rodríguez, S. (2023). ESTUDIO DEL RIESGO CARDIOVASCULAR EN EL MUNICIPIO DE SANTA CLARA UTILIZANDO EL MÉTODO DE REGRESIÓN CATEGÓRICA. Investigación Operacional, 29(3). Retrieved from https://revistas.uh.cu/invoperacional/article/view/6264

Issue

Vol. 29 No. 3 (2008): Investigacion Operacional

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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