[Dengue lethality and inequalities in the Region of the Americas between 2014 and 2023Letalidade da dengue e desigualdades na Região das Américas entre 2014 e 2023]. [PDF]
Gallego-Munuera M, Colomé-Hidalgo M.
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In this project, we will observe the natural evolution of modeling certain problems in the eld of statistics. It can be viewed as a theoretical endeavor. It is assumed to be a continuation of the Linear Models and Experimental Design course. Not only will we examine results and proofs that were not covered in the Linear Regression section, but we will ...
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[Determinants of trust and acceptance of vaccines in the Dominican RepublicDeterminantes da confiança nas vacinas e sua aceitação na República Dominicana]. [PDF]
Colomé-Hidalgo M +8 more
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Prevalence and factors associated with admission to the intensive care unit in children hospitalized for community-acquired pneumonia. [PDF]
Mosquera-Rojas M +2 more
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New world health organization guideline on anemia cut-off points: implications for children aged 6-35 months in Peru. [PDF]
Campos-Sánchez M +6 more
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[eng] LONGITUDINAL AND MULTIVARIATE DATA ANALYSIS THROUGH DISTANCES WITH GENERALIZED LINEAR MODELS We are introducing new methodologies for the analysis of longitudinal data with continuous responses (univariate, multivariate for growth curves and with non-normal response using generalized linear models) based on distances between observations (or ...
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Food insecurity in households with children and adolescents under the intersectionality between gender and race/skin color. [PDF]
Miguel IDVC +10 more
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[Efficacy of hydrotherapy versus gym treatment in primary total knee prosthesis due to osteoarthritis: a randomized controlled trial]. [PDF]
Alonso-Rodríguez AM +5 more
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Effect modifiers of the temperature-mortality association for general and older adults population of Brazil's metropolitan areas. [PDF]
Aschidamini C, Leon ACMP.
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Modelos lineales generalizados: regresión de rango reducido y reducción suficiente de dimensiones
The answer to many problems of interest in experimental sciences require the study of one or more variables Y (response/s) depending on other variables X (predictors). From the point of view of statistics, this means study the conditional distribution of a vector Y r-dimensional given the vector X p-dimensional. When the number of predictors p is large,
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