Análisis de Componentes Principales y Análisis de Regresión para Datos Categóricos. Aplicación en la Hipertensión Arterial.

Content Provider	Semantic Scholar
Author	Céspedes, Juan Manuel Navarro Cardoso, Gladys Casas Rodríguez, Emilio Francisco González
Copyright Year	2010
Abstract	The present work is about the statistical processing of categorical data. The mathematical details of the Categorical Principal Components and the Categorical Regression Analysis are explained. The combination of both techniques can be used to solve classification problems. Because these techniques are relatively new, we decided to use another technique (classification trees following the chi squared criteria) to make a comparison of their results, with the help of the theory of ROC curves. In the application, supposedly healthy patients of Santa Clara, Cuba, were diagnosed as hypertensive, pre hypertensive and no hypertensive by a Committee of Medical Experts. Categorical Component Analysis and Categorical Regression Analysis were applied in order to successfully solve the classification problem.
Starting Page	199
Ending Page	230
Page Count	32
File Format	PDF HTM / HTML
DOI	10.15517/rmta.v17i2.2128
Volume Number	17
Alternate Webpage(s)	https://revistas.ucr.ac.cr/index.php/matematica/article/download/2128/2091
Alternate Webpage(s)	https://doi.org/10.15517/rmta.v17i2.2128
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article