El análisis discriminante y el análisis de medidas repetidas han sido estudiados desde muchos años atrás. Este trabajo trata del estudio de las reglas de clasificación de máxima verosimilitud suponiendo distribución multinormal con matrices de covarianza iguales dentro de los grupos y en medidas repetidas. La reglas de clasificación son derivadas para el caso de 'g' grupos y particularizadas para dos grupos en los datos originales y en transformaciones a coeficientes polinomiales. Los resultados obtenidos ayudan a un mejor entendimiento del análisis discriminante en este contexto.

El análisis discriminante y el análisis de medidas repetidas han sido estudiados desde muchos años atrás. Este trabajo trata del estudio de las reglas de clasificación de máxima verosimilitud suponiendo distribución multinormal con matrices de covarianza iguales dentro de los grupos y en medidas repetidas. La reglas de clasificación son derivadas para el caso de 'g' grupos y particularizadas para dos grupos en los datos originales y en transformaciones a coeficientes polinomiales. Los resultados obtenidos ayudan a un mejor entendimiento del análisis discriminante en este contexto.

The objective of the research is to estimate the transmission rate of an infection (β) in the SI epidemical model, using Bayesian statistical methods from observed data in Peru. After studying the SI mathematical model and Bayesian statistical inference metho’ds, a Bayesian estimator is proposed to estimate the transmisión rate of an infection in this model and a procedure is proposed to estimate this rate using Montecarlo simulation based on Markov chains - MCMC.

Los métodos factoriales, concebidos para el estudio de una tabla de datos, pueden extenderse al caso de tablas múltiples. Se presenta la metodología propuesta por Scoffier [3] para el análisis de tablas multip1es en k ocasiones, una adaptación del Análisis de Componentes Principales para dos grupos propuesto por Krzanowski [2]y se propone una metodología para estudiar la relación de los cambios entre dos ocasiones,"Para la aplicación, se utiliza los datos de una muestra panel de 50 hogares en la ciudad de Lima, observada durante cinco semanas. Los métodos factoriales, específicamente el Análisis de Componentes Principales permite representaciones simplificadas de grandes tablas, facilitando la confrontación entre ocasiones diferentes.

Se presenta una aplicación del Análisis Factorial en la caracterización de las provincias del Perú; obteniéndose dos indicadores, los cuales fueron denominados: Indicador de desarrollo e Indicador de las condiciones de vida y necesidades básicas insatisfechas. Se obtiene un indicador de desarrollo global, el cual permite jerarquizar las provincias.

The Peruvian provinces were tipified by factorial methods with incorporating geo-referenced data with information from the 2012 National Agricultural Census. Were determined three indicators : Intensity of agricultural activity, commercialization of agricultural production, and use of water sources for irrigation; The use of the Moran Index helped identify provinces with similar agricultural characteristics. The results could be used to route some objectives of the strategic plan of the agricultural sector, and monitor policies of institutional development in the sector. The informatión also could be useful for designing development plans that meet the needs of the agricultural sector and to have a clear idea of the agricultural characteristics of all the provinces of Peru, with the object to orient the investment in the country.

Los métodos factoriales, concebidos para el estudio de una tabla de datos, pueden extenderse al caso de tablas múltiples. Se presenta la metodología propuesta por Scoffier [3] para el análisis de tablas multip1es en k ocasiones, una adaptación del Análisis de Componentes Principales para dos grupos propuesto por Krzanowski [2]y se propone una metodología para estudiar la relación de los cambios entre dos ocasiones,"Para la aplicación, se utiliza los datos de una muestra panel de 50 hogares en la ciudad de Lima, observada durante cinco semanas. Los métodos factoriales, específicamente el Análisis de Componentes Principales permite representaciones simplificadas de grandes tablas, facilitando la confrontación entre ocasiones diferentes.

Se presenta una aplicación del Análisis Factorial en la caracterización de las provincias del Perú; obteniéndose dos indicadores, los cuales fueron denominados: Indicador de desarrollo e Indicador de las condiciones de vida y necesidades básicas insatisfechas. Se obtiene un indicador de desarrollo global, el cual permite jerarquizar las provincias.

Las provincias peruanas fueron tipificadas por métodos factoriales con la incorporación de datos georreferenciados con información del Censo Nacional Agropecuario de 2012. Se determinaron tres indicadores: La intensidad de la actividad agrícola, la comercialización de la producción agrícola, y el uso de fuentes de agua para el riego; El uso del Índice de Moran ayudó a identificar las provincias con características agrícolas similares. Los resultados podrían ser utilizados para encaminar algunos objetivos del plan estratégico del sector agrícola, y supervisar las políticas de desarrollo institucional en el sector. La información también podría ser útil para el diseño de planes de desarrollo que respondan a las necesidades del sector agrícola y para tener una idea clara de las características agrícolas de todas las provincias del Perú, con el objeto de orientar la i...

The research aimed to determine the sociodemographic factors associated with depression in the population of Peruvian women aged 15 - 49. Being the Family Health Demographic Survey 2015, the database. The research was quantitative, correlational level, non-experimental design. The selection and refinement of the variables was based on the objectives, considering 13763 cases. From this, it was determined that 33.2% of the women suffer from depression whose levels are: 19.4% mild, 7.1% moderate, 3.8% severe and 2.9% very severe. By means of the proportional odds model, the sociodemographic factors associated with depression were determined (p-value<0.05): high school level of the partner, poor and medium wealth level, having suffered violence from their partner, having two or more sexual partners, diagnosis of diabetes or hypertension, having smoked in the last 12 months and having drun...

Abstract: WHOQOL-OLD is an instrument designed by the WHO to measure quality of life in older adults. Objective: To validate the WHOQOL-OLD module to evaluate the quality of life of people cared for in organizations for the Elderly in the Miraflores district. Method: The study has a quantitative, non-experimental, cross-sectional approach. The sample design is probabilistic and a sample size of 325 elderly people randomly selected from the three Elderly Care Centers in the district of Miraflores. To validate the WHOQOL-OLD module, the structural equation model was used in three stages detailed in the document. Results: By means of the estimation method by Least Squares of free distribution, the Quality of Life applying the WHOQOL-OLD Module of the WHO, directly and positively influences five of its six factors, with satisfactory adjustment indices (GFI = 0.94 ; SRMR = 0.10; CFI = 0.94; N...

The objective of the research was to evaluate the validity of the internal structure and the reliability of the “Warr, Cox and Wall Job Satisfaction" questionnaire to be applied to higher education teachers. Method: Using of the Confirmatory Factor Analysis with the method of estimation of Least Squares of Free Scale in unifactorial and bifactorial measurement models, in a sample of 242 higher education teachers. Results: Obtaining the indicators Chi of 59.024 and 63.185, GFI of 0.984 and 0.983, AGFI of 0.978 and 0.977, RMSR of 0.066 and 0.070, respectively, being within the appropriate parameters. The degree of reliability was evaluated with Cronbach's Alpha coefficient=0.867 with a CI(99 %)[0.832; 0.897], the composite reliability coefficient in the unifactorial model ω = 0.908 and in the bifactorial model ω = 0.913, being the internal consistency of the scale very better. Concludi...

The research aimed to determine the sociodemographic factors associated with depression in the population of Peruvian women aged 15 - 49. Being the Family Health Demographic Survey 2015, the database. The research was quantitative, correlational level, non-experimental design. The selection and refinement of the variables was based on the objectives, considering 13763 cases. From this, it was determined that 33.2% of the women suffer from depression whose levels are: 19.4% mild, 7.1% moderate, 3.8% severe and 2.9% very severe. By means of the proportional odds model, the sociodemographic factors associated with depression were determined (p-value<0.05): high school level of the partner, poor and medium wealth level, having suffered violence from their partner, having two or more sexual partners, diagnosis of diabetes or hypertension, having smoked in the last 12 months and having drun...

rlopezc@ulima.edu.pe;ecambillom@unmsm.edu.pe

The objective is identify associated factors with nutritional status of under 5 years children in Peru. Was considered a sample of 8103 children under 5 years. Fits GLM logit model, and found that factors significantly associated with the prevalcncc of chronic malnutrition are birth weight (OR:2,3; IC:1,8-2,8) , severe anemia presence(OR:2,3; IC:1,2-4,5), in rural zone households (OR:1,1; IC:1,l-1,5), this prevalence significantly increases with birth order, and poverty, youth, and the low education of the mother. The majority of identified risk factors can be controlled with the reduction of poverty, adequate prenatal monitoring and improved quality of life and education of mothers, especially in rural areas.

The objective of this work is to evaluate the type of spatial pattern followed by the cases of patients with Rhino pharyngitis, asthma and bronchitis the year 2006 in the city of Lima, who were treated by the Santa Rosa Hospital. An exploratory analysis of spatial data (AEDE) was used, obtaining as a result that the cases of asthma treated by the Hospital Santa Rosa do not present a spatial pattern throughout Metropolitan Lima (inhomogeneous distribution), being more intense in those districts more close to said hospital and specifically in the District of Pueblo Libre. In addition, the presence of significant clusters occurred in the districts of Pueblo Libre, Breña, Jesús María, Magdalena del Mar, San Miguel and Lima.

The factors associated with conjugal violence are determined in the Wo-men’s Emergency Center (CEM) in the months of January to August in the year 2017. For this, a non-experimental, descriptive, cross-sectional study was conducted, where the study population was constituted by people who suffered some type of violence and were attended in the central headquarters CEM, Lima in the year 2017 in the months of January to August, the sample was probabilistic and comprised 186 people. For the bivariate analysis the Chi-square test was applied, in the same way the binary logistic regression was used to calculate Odds Ratio (OR) with 95 %confidence intervals. The factors that were significant with spousal violence are the psychological factor and the occupation of the victims, it is shown that those with personality disorder are 5 times more likely to suffer sexual violence than people wh...

Determine factors related to cardiovascular diseases in adults treated at the PNP Augusto B. Leguía Hospital. Rimac-2017. Material and methods: The study was observational, retrospective and analytical, the sample design is simple random, a random sample of 1284 patients and medical records was taken between the months of October to December 2017, multiple binary logistic regression was used to determine the variables (predictors) that are related to cardiovascular diseases, binary qualitative dependent variable that take values 1=has cardiovascular disease, 0=does not have the disease. Results: from a total of 12 predictors (classified into factors): gender, age, race, body mass index, alcoholism, smoking, physical activity, cholesterol level, triglyceride level, systolic pressure, diastolic pressure, diabetes; The predictors were significant at 5 % to predict cardiovascular disease:...

El objetivo del estudio fue identificar los factores asociados con el estado nutricional de los niños/niñas menores de 5 años en el Perú. Se consideró una muestra de 8103 niños/niñas menores de 5 años. Se ajustó un modelo MLG logit y se encontró que los factores significativamente asociados con la prevalencia de desnutrición crónica son el peso al nacer (OR:2,3; IC:1,8-2,8), la presencia de anemia severa (OR:2,3; IC:1,8-2,8), hogares pertenecientes a la zona rural (OR:1,l; IC:1,l-1,5), esta prevalencia se incrementa significativamente con el orden de nacimiento, la pobreza, juventud, bajo nivel de instrucción de la madre. La mayoría de los factores de riesgo identificados pueden ser controlados con la disminución de la pobreza, un adecuado control pre natal y una mejora de la calidad de vida y la educación de las madres, especialmente en la zona rural.

El presente trabajo tiene como objetivo evaluar el tipo de patrón espacial que siguen los casos de pacientes con rinofaringitis, asma y bronquitis del año 2006 en la ciudad de Lima que fueron atendidos por el Hospital Santa Rosa. Se utilizo un análisis exploratorio de datos espaciales (AEDE) obteniendo como resultados que los casos de asma atendidos por el Hospital Santa Rosa no presentan un patrón espacial a lo largo de Lima Metropolitana (distribución no homogénea), siendo en mayor intensidad en aquellos distritos más cercanos a dicho hospital y específicamente en el Distrito de Pueblo Libre. Además, la presencia de clústeres significativos se dio en los distritos de Pueblo Libre, Breña, Jesús María, Magdalena del Mar, San Miguel y Lima.