Rodríguez Aguilar, Román
Thumbnail Image
Preferred name
Rodríguez Aguilar, Román
Official Name
Rodríguez Aguilar, Román
Alternative Name
Rodríguez-Aguilar, Román
Rodríguez-Aguilar, R.
Aguilar, R.R.
Rodriguez-Aguiler, R.
Rodríguez, R.
Roman, R.A.
Main Affiliation
ORCID
Scopus Author ID
56717663000
Researcher ID
AAO-6158-2020

Research Output

Filters

2
Reset filters

Settings
Now showing 1 - 2 of 2
No Thumbnail Available
Publication

Main Metric Components in the Generation of Mixed Indicators: An Application of SGVD Methodology

2020 , Rodríguez Aguilar, Román

The analysis of mixed principal components is presented by applying the generalized singular value decomposition methodology (GSVD). This multivariate analysis allows quantitative and qualitative analysis, combining principal component analysis with multiple correspondence analysis. The GSVD methodology is developed and applied to the data of the national survey of household income and expenditure in Mexico for the period 2016. The objective is to build an indicator of consumption patterns of Mexican households through a set of variables that consider sociodemographic aspects of households (qualitative) as well as variables that interest consumption items of households (quantitative). The results show that the indicator generated by mixed main components allows characterizing sets of households according to their sociodemographic characteristics and consumption patterns. This indicator allows a comprehensive evaluation of household profiles according to interest consumption items and defined sociodemographic variables. The results are presented by applying the Varimax rotation, which allows a better interpretation of the mixed main components generated. © Springer Nature Switzerland AG 2020.

View
No Thumbnail Available
Publication

Optimization of public resources through an ensemble-learning model to measure quality perception in the social protection system in health of Mexico

2018 , Rodríguez Aguilar, Román , Rivera-Peña, Gustavo

In order to optimize the use of public resources, a model of ensemble learning was proposed to measure the perception of quality in the medical care granted to the people affiliated to the social protection in health system of Mexico. Which allows a more efficient allocation of resources based on the main areas of opportunity identified in the measurement of service quality. Identify the effect of the main factors that are directly related to the satisfaction level and perception of quality of health services. A satisfaction index was built using an ensemble model using principal component analysis, logistic model and bagging meta-estimator, to identify the effect of a group of factors in the perception of quality of health services and monitor the perceived quality of users in real time. The survey data collected for the “Social Protection System in Health-SPSS 2014” was used, considering a sample of 28,290 users. The proposed index shows, in general, the positive perception of quality of health services, the national average index was of 0.0756, 95% CI [− 9.714 to 2.027]. There are factors statistically significant (P < 0.05) that influence these results, among the most important that can be highlighted is the good perception of infrastructure OR 2.12; CI [95% 1.9–2.36]; the gratuity of the service provided OR 1.98; CI [95% 1.42–2.76]; and full medicines supply OR 1.81; CI [95% 1.91–2.36]. The key factors identified that determine the perception of quality allow to define focused strategies and lines of action to improve service quality as well as better allocation of resources. ©Springer, The Authors.

View