Resultados de búsqueda - model regression

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    Variables related to sexual prejudice among Mexican health science students por Moral de la Rubia, José, Valle de la O, Adrián, Garcia Cadena, Cirilo Humberto

    Publicado 2015
    “…Only the two latter variables were significant predictive variables; they explained 21% of the variance in the ordinal regression model and 27% in the multinomial regression model. …”
    Enlace del recurso
    Artículo
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    Statistically coherent calibration of X-Ray Fluorescence Spectrometry for major elements in rocks in minerals. por Verma, Surendra P., Verma, Sanjeet K., Rivera Gómez, María Abdelaly, Torres Sánchez, Darío, Díaz González, Lorena, Amezcua Valdez, Alejandra, Rivera Escoto, Beatriz Adriana, Rosales Rivera, Mauricio, Armstrong Altrin, John S., López Loera, Héctor, Velasco Tapia, Fernando, Pandarinath, Kailasa

    Publicado 2018
    “…We applied both the ordinary linear regression (OLR) and the new uncertainty weighted linear regression (UWLR) models for the calibration and comparison of a XRF machine through 59 geochemical reference materials (GRMs) and a procedure blank sample. )e mean concentration and uncertainty data for the GRMs used for the calibrations (Supplementary Materials) (available here) filewere achieved from an up-to-date compilation of chemical data and their processing from well-known discordancy and significance tests. )e drift-corrected XRF intensity and its uncertainty were determined from mostly duplicate pressed powder pellets. )e comparison of the OLR (linear correlation coefficient r∼0.9523–0.9964 and 0.9771–0.9999, respectively, for before and after matrix correction) and UWLR models (r∼0.9772–0.9976 and 0.9970–0.9999, respectively) clearly showed that the latter with generally higher values of r is preferable for routine calibrations of analytical procedures. …”
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    Artículo
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    Social Factors Contributing to the Development of Allostatic Load in Older Adults: A Correlational- Predictive Study por Morales Jinez, Alejandro, Gallegos Cabriales, Esther Carlota, D'Alonzo, Karen T., Ugarte Esquivel, Alicia, López Rincón, Francisco J., Salazar González, Bertha Cecilia

    Publicado 2018
    “…Multivariate linear regression model analysis showed that better housing conditions, satisfaction with own house, presence of dead-end streets, and church attendance reduce allostatic load, while dangerous traffic increases allostatic load. …”
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    Predictive factors of alcohol and tobacco use in adolescents por Alvarez Aguirre, Alicia, Alonso Castillo, María Magdalena, Guidorizzi Zanetti, Ana Carolina

    Publicado 2014
    “…Results: the adjustment of the logistic regression model, considering age, sex, self-esteem, assertiveness, self-efficacy and resiliency, demonstrates significance in the consumption of alcohol and tobacco. …”
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    Subclinical abnormal glucose tolerance is a predictor of death in liver cirrhosis por García Compeán, Diego, Jáquez Quintana, Joel Omar, Lavalle González, Fernando Javier, González González, José Alberto, Muñoz Espinosa, Linda Elsa, Villarreal Pérez, Jesús Zacarías, Maldonado Garza, Héctor Jesús

    Publicado 2014
    “…Survival was analyzed by the Kaplan-Meyer method, and predictive factors of death were analyzed using the Cox proportional hazard regression model. RESULTS: Of the included patients, 30 showed NGT and 70 SAGT. …”
    Enlace del recurso
    Artículo
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    Leaving the Nest or Living with Parents: Evidence from Mexico’s Young Adult Population por García Andrés, Adelaido, Martínez, José N., Aguayo Téllez, Ernesto

    Publicado 2021
    “…Marginal effects from a probit regression model show that, after controlling for individual characteristics and retrospective family conditions, adult children’s education and employment status seem to be correlated with co-residence status, although only for males. …”
    Enlace del recurso
    Artículo
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    Factors associated with anxiety in family caregivers of children with chronic diseases por Toledano Toledano, Filiberto, Moral de la Rubia, José

    Publicado 2018
    “…Furthermore, a multiple linear regression model with five psychosocial variables was established to predict family caregiver anxiety. …”
    Enlace del recurso
    Artículo
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