Search results for "multivariate"

showing 10 items of 1520 documents

Prevalence and characteristics of antidepressant drug prescriptions in older Italian patients.

2012

ABSTRACTBackground: During last few decades, the proportion of elderly persons prescribed with antidepressants for the treatment of depression and anxiety has increased. The aim of this study was to evaluate prevalence of antidepressant prescription and related factors in elderly in-patients, as well as the consistency between prescription of antidepressants and specific diagnoses requiring these medications.Methods: Thirty-four internal medicine and four geriatric wards in Italy participated in the Registro Politerapie SIMI–REPOSI study during 2008. In all, 1,155 in-patients, 65 years or older, were enrolled. Prevalence of the use of antidepressants was calculated at both admission and dis…

---DrugMalemedicine.medical_specialtyMultivariate analysisSettore MED/09 - Medicina Internaantidepressants; prescription; elderly; hospitalization; dementiamedia_common.quotation_subjectLogistic regressionelderlySex FactorsInternal medicinemedicinePrevalenceantidepressant drugsDementiaHumansMedical prescriptionPractice Patterns Physicians'PsychiatryDepression (differential diagnoses)media_commonAgedprescriptionantidepressantbusiness.industryDepressionAge Factorsmedicine.diseaseSettore MED/45 - Scienze Infermieristiche Generali Cliniche E PediatricheAntidepressive AgentsPsychiatry and Mental healthClinical PsychologyLogistic Models---; elderly; antidepressant drugs; PrevalenceItalyAnxietyAntidepressantDementiaFemaleGeriatrics and Gerontologymedicine.symptombusinessGerontologyhospitalizationInternational psychogeriatrics
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Exposure to mercury among 9-year-old Spanish children: Associated factors and trend throughout childhood

2019

Mercury is considered a neurotoxicant and human exposure occurs mainly from the consumption of marine species. We aimed to describe total mercury concentrations (THg) and associated factors in 9-year old children, as well as to explore the trend in THg from 4 to 9 years of age. The study population consisted of 9-year-old children participating in the INMA (Environment and Childhood) birth cohort study in Valencia, Spain (n = 405, 2013–2014). THg in hair samples was measured by atomic absorption spectrometry at the age of 4 and 9 years. Sociodemographic and dietary data was obtained through questionnaires. Multiple linear regression was used to explore the association between THg and covari…

010504 meteorology & atmospheric sciencesChild Diet exposure Environmental exposure Mercury Postnatal exposure SpainDiet exposureMotherschemistry.chemical_elementFood Contamination010501 environmental sciences01 natural sciencesWorld healthCohort StudiesEnvironmental healthmedicineAnimalsHumansChildlcsh:Environmental sciences0105 earth and related environmental sciencesGeneral Environmental Sciencelcsh:GE1-350Pregnancybusiness.industryPostnatal exposureSwordfishFishesMercuryEnvironmental exposureEnvironmental exposuremedicine.diseaseConfidence intervalMercury (element)SeafoodchemistrySpainChild PreschoolMultivariate AnalysisLinear ModelsPopulation studyFemalebusinessBody mass indexHairEnvironment International
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2016

Gianluca Tramontana was supported by the GEOCARBON EU FP7 project (GA 283080). Dario Papale, Martin Jung and Markus Reichstein acknowledge funding from the EU FP7 project GEOCARBON (grant agreement no. 283080) and the EU H2020 BACI project (grant agreement no. 640176). Gustau Camps-Valls wants to acknowledge the support by an ERC Consolidator Grant with grant agreement 647423 (SEDAL). Kazuhito Ichii was supported by Environment Research and Technology Development Funds (2-1401) from the Ministry of the Environment of Japan and the JAXA Global Change Observation Mission (GCOM) project (no. 115). Christopher R. Schwalm was supported by National Aeronautics and Space Administration (NASA) gran…

010504 meteorology & atmospheric sciencesMeteorologyFLUXNET0208 environmental biotechnology0207 environmental engineeringlcsh:Life02 engineering and technologySensible heatAtmospheric sciences7. Clean energy01 natural sciencesFlux (metallurgy)FluxNetMachine learning; Carbon fluxes; Energy fluxes; FLUXNET; Remote sensing; FLUXCOMlcsh:QH540-549.5Latent heatMachine learningCarbon fluxes020701 environmental engineeringEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface ProcessesFLUXCOMMultivariate adaptive regression splineslcsh:QE1-996.5Empirical modellingPrimary production15. Life on landRemote sensingEnergy fluxes020801 environmental engineeringlcsh:Geologylcsh:QH501-531Kernel method13. Climate actionEnvironmental sciencelcsh:EcologyBiogeosciences
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gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models inr

2019

The work of J.N. was supported by the Wihuri Foundation. The work of S.T. was supported by the CRoNoS COST Action IC1408.F.K.C.H. was also supported by an ANU cross disciplinary grant.

0106 biological sciencesClustering high-dimensional dataMultivariate statisticsMultivariate analysisCross disciplinary010604 marine biology & hydrobiologyEcological ModelingMaximum likelihoodLatent variable010603 evolutionary biology01 natural sciencesAbundance (ecology)StatisticsCost actionEcology Evolution Behavior and SystematicsMathematicsMethods in Ecology and Evolution
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Use of Leaf and Fruit Morphometric Analysis to Identify and Classify White Mulberry (Morus alba L.) Genotypes

2018

Digital image analysis and multivariate data analysis were used in this study to identify a set of leaf and fruit morphometric traits to discriminate white mulberry (Morus alba L.) cultivars. The trial was conducted using three- to five-year-old potted cuttings of several white mulberry cultivars. 32 leaf morphometric descriptors were recorded in 2011 and 2012 from 11 mulberry cultivars using image analysis of scanned leaves, whereas six fruit descriptors were recorded in 2011 from nine mulberry cultivars. Linear discriminant analysis (LDA) was used to identify a subset of measured variables that could discriminate the cultivars in trial. Biplot analysis, followed by cluster analysis, was p…

0106 biological sciencesLinear discriminant analysifood.ingredientlinear discriminant analysisBiplotPlant ScienceBiology01 natural sciencesCutting0404 agricultural biotechnologyfoodGenotypedescriptordigital image analysisLeaf sizeCultivarlcsh:Agriculture (General)MorphometricsMultivariate analysi<i>Morus alba</i>Digital image analysi04 agricultural and veterinary sciencesLinear discriminant analysislcsh:S1-972040401 food scienceMorus albaHorticulturemultivariate analysisWhite MulberryAgronomy and Crop Sciencebiplot010606 plant biology & botanyFood ScienceAgriculture
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Helminth associations in white-toothed shrews Crocidura russula (Insectivora : Soricidae) from the Albufera Natural Park, Spain

2004

The helminths of 218 white-toothed shrews from 29 sites in 2 biotopes in the Albufera Natural Park (Valencia, Spain) were examined from July 1990 to August 1991. An association analysis of helminths occurring at a prevalence of more than 4% was carried out for 4 species of cestodes located in the intestine (Hymenolepis pistillum, H. scalaris, H. tiara, and Pseudhymenolepis redonica) and 3 species of nematodes (Pseudophysaloptera sp. located in the stomach, Stammerinema rhopocephala larvae in the intestine and abdominal cavity, and Porrocaecum sp. in the thoracic and abdominal cavities). Bivariate (species pairs) versus multivariate analyses (associations within the entire set of species) we…

0106 biological sciencesMaleHymenolepis (plant)[SDV]Life Sciences [q-bio]Abdominal cavityPARASITES;01 natural sciences030308 mycology & parasitologyRodent DiseasesPregnancyPrevalenceUNESCO::CIENCIAS DE LA VIDAPhylogeny0303 health sciencesLarvabiologyEcology:CIENCIAS DE LA VIDA::Biología animal (Zoología) ::Parasitología animal [UNESCO]Crocidura russulaASSEMBLAGES;[SDV] Life Sciences [q-bio]UNESCO::CIENCIAS DE LA VIDA::Biología animal (Zoología) ::Parasitología animalmedicine.anatomical_structureFemaleHelminthiasis AnimalBiotopeNESTEDNESS;Helminth ; Crocidura russula ; Albufera natural parkCrocidura russulaEnvironment010603 evolutionary biology:CIENCIAS DE LA VIDA [UNESCO]MARINE FISH;03 medical and health sciencesHelminthsmedicineHelminthINTERSPECIFIC ASSOCIATIONS; INTESTINAL HELMINTHS;HelminthsAnimalsPATTERNS;COMMUNITY STRUCTURE;Ecology Evolution Behavior and SystematicsAnalysis of VarianceLife Cycle StagesHost (biology)InsectivoraShrewsbiology.organism_classificationMuridaeSpainPregnancy Complications ParasiticMultivariate AnalysisBATSParasitologyAlbufera natural park
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Cinderella's helping pigeons of the microbial world: The potential of testate amoebae for identifying cryptotephra

2016

Cryptotephra (particles <125μm) is a key record for monitoring past and current volcanic activity. However, its extraction from the host sediment and analysis is often long and difficult because of its small size. Finding a simple method to extract cryptotephra from environmental samples would therefore make its analysis much easier. We hypothesized that arcellinid testate amoebae may hold such a potential. These free-living shelled protists are among the earliest microorganisms to colonize volcanic tephra, and build their shell by agglutinating minerals from their environment. We analyzed by X-ray Spectrometry the mineral signature of tephra from the 2011 Puyehue-Cordon Caulle Volcanic Com…

0106 biological sciencesMineralsArcellinidageographyPeatgeography.geographical_feature_category010504 meteorology & atmospheric sciencesEcologyGeologyVolcanic EruptionsBiologyMineral compositionbiology.organism_classification010603 evolutionary biology01 natural sciencesMicrobiologyVolcanoMultivariate AnalysisChileAmoebaTestate amoebaeTephra0105 earth and related environmental sciencesEuropean Journal of Protistology
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Empirical Bayes improves assessments of diversity and similarity when overdispersion prevails in taxonomic counts with no covariates

2019

Abstract The assessment of diversity and similarity is relevant in monitoring the status of ecosystems. The respective indicators are based on the taxonomic composition of biological communities of interest, currently estimated through the proportions computed from sampling multivariate counts. In this work we present a novel method to estimate the taxonomic composition able to work even with a single sample and no covariates, when data are affected by overdispersion. The presence of overdispersion in taxonomic counts may be the result of significant environmental factors which are often unobservable but influence communities. Following the empirical Bayes approach, we combine a Bayesian mo…

0106 biological sciencesMultivariate statisticsBiological dataEmpirical Bayesian estimationEcologyTaxonomic compositionGeneral Decision SciencesEnvironmental monitoring010501 environmental sciencesBayesian inference010603 evolutionary biology01 natural sciencesBiodiversity assessment; Dirichlet-Multinomial model; Empirical Bayesian estimation; Environmental monitoring; Taxonomic compositionMarginal likelihoodBayes' theoremOverdispersionStatisticsTaxonomic rankDirichlet-Multinomial modelBiodiversity assessmentEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEmpirical Bayes methodMathematics
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Managing for resilience: an information theory-based approach to assessing ecosystems

2016

Ecosystems are complex and multivariate; hence, methods to assess the dynamics of ecosystems should have the capacity to evaluate multiple indicators simultaneously. Most research on identifying leading indicators of regime shifts has focused on univariate methods and simple models which have limited utility when evaluating real ecosystems, particularly because drivers are often unknown. We discuss some common univariate and multivariate approaches for detecting critical transitions in ecosystems and demonstrate their capabilities via case studies. Synthesis and applications. We illustrate the utility of an information theory-based index for assessing ecosystem dynamics. Trends in this inde…

0106 biological sciencesMultivariate statisticsInformation theoryIndex (economics)Computer scienceInformation theory010603 evolutionary biology01 natural sciencesEcosystemsEconomic indicatorIndicatorsEcosystemResilience (network)Regime shiftsResilienceFisher informationEcologybusiness.industryEnvironmental resource managementUnivariateComputingMilieux_GENERAL010601 ecologyLeadingEcosystem dynamicsbusinessMultivariateIndicesJournal of Applied Ecology
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Efficient estimation of generalized linear latent variable models.

2019

Generalized linear latent variable models (GLLVM) are popular tools for modeling multivariate, correlated responses. Such data are often encountered, for instance, in ecological studies, where presence-absences, counts, or biomass of interacting species are collected from a set of sites. Until very recently, the main challenge in fitting GLLVMs has been the lack of computationally efficient estimation methods. For likelihood based estimation, several closed form approximations for the marginal likelihood of GLLVMs have been proposed, but their efficient implementations have been lacking in the literature. To fill this gap, we show in this paper how to obtain computationally convenient estim…

0106 biological sciencesMultivariate statisticsMultivariate analysisComputer scienceBinomials01 natural sciencesPolynomials010104 statistics & probabilityAmoebastilastolliset mallitestimointiProtozoansLikelihood FunctionsMultidisciplinaryApproximation MethodsStatistical ModelsSimulation and ModelingApplied MathematicsStatisticsQLinear modelREukaryotaLaplace's methodData Interpretation StatisticalPhysical SciencesVertebratesMedicineAlgorithmAlgorithmsResearch ArticleOptimizationScienceLatent variableResearch and Analysis Methods010603 evolutionary biologygeneralized linear latent variable modelsSet (abstract data type)BirdsAnimalsComputer Simulation0101 mathematicsta112OrganismsBiology and Life SciencesStatistical modelMarginal likelihoodAlgebraAmniotesMultivariate AnalysisLinear ModelsMathematicsSoftwarePLoS ONE
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