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A new principal component analysis by particle swarm optimization with an environmental application for data science
ArticleAbstract: In this paper, we propose a new method for disjoint principal component analysis based on an intelliPalabras claves:Constrained binary particle swarm optimization, Data Mining, Disjoint principal components, Evolutionary computation, R Software, SINGULAR VALUE DECOMPOSITIONAutores:Carlos Martin-Barreiro, John A. Ramirez-Figueroa, Leiva V., Nieto-Librero A.B., Purificación Galindo-VillardónFuentes:scopusA tutorial for meta-analysis of diagnostic tests for low-prevalence diseases: Bayesian models and software
ArticleAbstract: Although measures such as sensitivity and specificity are used in the study of diagnostic test accurPalabras claves:Bivariate models, heterogeneity, Meta-analysis, statistical softwareAutores:Johny J. Pambabay-Calero, Nieto-Librero A.B., Purificación Galindo-Villardón, Sánchez-García A.B., Sergio Alex Bauz OlveranFuentes:googlescopusBivariate hierarchical model for the Meta- analysis of diagnostic tests in studies with binary responses: its application from SAS and R
ArticleAbstract: Studies on the precision of diagnostic tests usually report the number of true positives, false posiPalabras claves:Bivariate approach, diagnostic accuracy, random effects, sensitivity, SpecificityAutores:Johny J. Pambabay-Calero, Nieto-Librero A.B., Purificación Galindo-Villardón, Sergio Alex Bauz OlveranFuentes:googlescopusC<inf>enet</inf>Biplot: a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD
ArticleAbstract: In this work, a new mathematical algorithm for sparse and orthogonal constrained biplots, called CenPalabras claves:Constrained singular value decomposition, Elastic net, HJ-biplot, Orthogonality, Sparse biplot, sparsityAutores:González-Garcia N., Nieto-Librero A.B., Purificación Galindo-VillardónFuentes:scopusHierarchical modeling for diagnostic test accuracy using multivariate probability distribution functions
ArticleAbstract: Models implemented in statistical software for the precision analysis of diagnostic tests include raPalabras claves:Bayesian hierarchical model, Binary covariance, Copula function, Markov Chain Monte CarloAutores:Johny J. Pambabay-Calero, Nieto-Librero A.B., Purificación Galindo-Villardón, Sánchez-García A.B., Sergio Alex Bauz OlveranFuentes:googlescopusMeta-Analysis in DTA with Hierarchical Models Bivariate and HSROC: Simulation Study
Conference ObjectAbstract: In meta-analysis for diagnostic test accuracy (DTA), summary measures such as sensitivity, specificiPalabras claves:Bivariate model, Diagnostic precision, HSROC model, Low prevalence, Meta-analysisAutores:Johny J. Pambabay-Calero, Nieto-Librero A.B., Purificación Galindo-Villardón, Sergio Alex Bauz OlveranFuentes:googlescopusSparse hj biplot: A new methodology via elastic net
ArticleAbstract: The HJ biplot is a multivariate analysis technique that allows us to represent both individuals andPalabras claves:biplot, Breast Cancer, Elastic net, Multivariate analysis, PCa, R Software, regularization, Sparse, TCGAAutores:Cubilla-Montilla M.I., Nieto-Librero A.B., Purificación Galindo-Villardón, Torres-Cubilla C.A.Fuentes:scopus