Search results for "estadística"

showing 10 items of 196 documents

Dynamic-Interactive Graphics for Statistics (26 years later)

2014

This paper briefly reviews the history of dynamic-interactive graphicsfor statistics, introduces an example of such graphics, and provides a fewglimpses as to the current state of things and the future trends we envision.The general conclusion is that dynamic-interactive graphics for statistics arethriving more than ever as they shift from the desktop to the internet. Thus,dynamic-interactive graphics are becoming increasingly important as they: 1) provide non-experts in statistics with the means to carry out analyses on their own; and 2) teach the basic concepts of statistics to students and practitioners with low to moderate  mathematics skills. Their increasingpopularity makes the lesson…

Statistics and ProbabilityDYNAMIC-GRAPHICS31 Colecciones de estadística general / StatisticsInteractive graphics//purl.org/becyt/ford/1 [https]Data visualizationStatisticsGraphicsGráficas dinámicasStatistical graphicslcsh:Statisticslcsh:HA1-4737business.industryData VisualizationSubject (documents)Dynamic Graphics//purl.org/becyt/ford/1.2 [https]PopularitySTATISTICSStatistical Graphicsgráficas dinámicas51 Matemáticas / MathematicsVisualizaciónvisualizaciónCiencias de la Computación e InformaciónThrivingThe InternetDATA-VISUALIZATIONbusinessgráficas estadísticasGráficas estadísticasCiencias de la Información y BioinformáticaCIENCIAS NATURALES Y EXACTAS
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Bayesian joint ordinal and survival modeling for breast cancer risk assessment

2016

We propose a joint model to analyze the structure and intensity of the association between longitudinal measurements of an ordinal marker and time to a relevant event. The longitudinal process is defined in terms of a proportional-odds cumulative logit model. Time-to-event is modeled through a left-truncated proportionalhazards model, which incorporates information of the longitudinal marker as well as baseline covariates. Both longitudinal and survival processes are connected by means of a common vector of random effects. General inferences are discussed under the Bayesian approach and include the posterior distribution of the probabilities associated to each longitudinal category and the …

Statistics and ProbabilityEpidemiologyComputer scienceBreast imagingLeft-truncated proportional-hazards modelBayesian probabilityPosterior probabilityPopulationBreast Neoplasmsleft‐truncated proportional‐hazards modelRisk Assessment:Matemàtiques i estadística::Investigació operativa [Àrees temàtiques de la UPC]01 natural sciences010104 statistics & probability03 medical and health sciencesBayes' theorem0302 clinical medicineBreast cancerStatisticsCovariateEconometricsmedicineHumansBreast0101 mathematicseducationResearch ArticlesBI-RADS scaleBreast Densityeducation.field_of_studyBI‐RADS scaleLatent processBayes TheoremRandom effects modelmedicine.disease:90 Operations research mathematical programming [Classificació AMS]030220 oncology & carcinogenesisProportional‐odds cumulative logit modelFemaleProportional-odds cumulative logit modelResearch ArticleStatistics in Medicine
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On the convenience of heteroscedasticity in highly multivariate disease mapping

2019

Highly multivariate disease mapping has recently been proposed as an enhancement of traditional multivariate studies, making it possible to perform the joint analysis of a large number of diseases. This line of research has an important potential since it integrates the information of many diseases into a single model yielding richer and more accurate risk maps. In this paper we show how some of the proposals already put forward in this area display some particular problems when applied to small regions of study. Specifically, the homoscedasticity of these proposals may produce evident misfits and distorted risk maps. In this paper we propose two new models to deal with the variance-adaptiv…

Statistics and ProbabilityHeteroscedasticityMultivariate statisticsComputer scienceDiseaseJoint analysisMachine learningcomputer.software_genreBayesian statistics01 natural sciencesGaussian Markov random fields010104 statistics & probability03 medical and health sciences0302 clinical medicineHomoscedasticity0101 mathematicsMultivariate disease mappingSpatial analysisMortality studiesInterpretation (logic)Spatial statisticsbusiness.industryBayesian statisticsEstadística bayesianaMalalties030211 gastroenterology & hepatologyArtificial intelligenceStatistics Probability and Uncertaintybusinesscomputer
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Bayesian analysis of a disability model for lung cancer survival

2016

Bayesian reasoning, survival analysis and multi-state models are used to assess survival times for Stage IV non-small-cell lung cancer patients and the evolution of the disease over time. Bayesian estimation is done using minimum informative priors for the Weibull regression survival model, leading to an automatic inferential procedure. Markov chain Monte Carlo methods have been used for approximating posterior distributions and the Bayesian information criterion has been considered for covariate selection. In particular, the posterior distribution of the transition probabilities, resulting from the multi-state model, constitutes a very interesting tool which could be useful to help oncolog…

Statistics and ProbabilityLung NeoplasmsEpidemiologyComputer scienceMatemáticasPosterior probabilityBayesian probabilityEstadísticaBiostatisticsAccelerated failure time modelsBayesian inference01 natural sciences010104 statistics & probability03 medical and health sciencesBayes' theoremsymbols.namesake0302 clinical medicineHealth Information ManagementBayesian information criterionCarcinoma Non-Small-Cell LungStatisticsPrior probabilityHumans0101 mathematicsBiología y BiomedicinaNeoplasm StagingInformáticaBayes estimatorBayes TheoremMarkov chain Monte CarloSurvival AnalysisBayesian information criterionMarkov Chains030220 oncology & carcinogenesisMinimum informative priorsymbolsMulti-state modelsRegression AnalysisWeibull distributionMonte Carlo Method
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Some links between conditional and coregionalized multivariate Gaussian Markov random fields

2020

Abstract Multivariate disease mapping models are attracting considerable attention. Many modeling proposals have been made in this area, which could be grouped into three large sets: coregionalization, multivariate conditional and univariate conditional models. In this work we establish some links between these three groups of proposals. Specifically, we explore the equivalence between the two conditional approaches and show that an important class of coregionalization models can be seen as a large subclass of the conditional approaches. Additionally, we propose an extension to the current set of coregionalization models with some new unexplored proposals. This extension is able to reproduc…

Statistics and ProbabilityMultivariate statisticsClass (set theory)Random fieldMarkov chainComputer science0208 environmental biotechnologyUnivariateMultivariate normal distribution02 engineering and technologyManagement Monitoring Policy and Law01 natural sciences020801 environmental engineering010104 statistics & probabilityEstadística bayesianaDiscriminative modelMalaltiesEconometrics0101 mathematicsComputers in Earth SciencesEquivalence (measure theory)Spatial Statistics
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Frequentist and Bayesian approaches for a joint model for prostate cancer risk and longitudinal prostate-specific antigen data

2015

The paper describes the use of frequentist and Bayesian shared-parameter joint models of longitudinal measurements of prostate-specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an age-varying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of disease-free probabilities obtained using Bayesian infe…

Statistics and ProbabilityPREDICTIONBayesian probabilityurologic and male genital diseasesBayesian inferenceGeneralized linear mixed modelPSAProstate cancerLATENT CLASS MODELSAnàlisi de supervivència (Biometria)Frequentist inference62N01Statisticsprostate cancer screeningSurvival analysis (Biometry)FAILUREMedicineProstate cancer riskTO-EVENT DATAbusiness.industryjoint modelsMORTALITYDISEASE PROGRESSIONmedicine.diseaselinear mixed modelsTIMEProstate-specific antigenProstate cancer screeningshared-parameter models:Matemàtiques i estadística::Estadística matemàtica [Àrees temàtiques de la UPC]62P10SURVIVALStatistics Probability and Uncertaintyrelative risk modelsFOLLOW-UPbusinessJournal of Applied Statistics
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Enseñanza de Estadística en un contexto multidisciplinar: una experimentación en un instituto italiano

2019

III Congreso Internacional Virtual de Educación Estadística (CIVEEST), 21-24 febrero de 2019. [www.ugr.es/local/fqm126/civeest.html] This paper describes an experiment performed at a Vocational School in Palermo during the school year 2010-11. It was designed to teach Statistics at the Secondary level following a multidisciplinary approach. The didactic activity involved the mathematics, Italian, English language and science teachers. We adapted materials and methods from the M@t.abel E-learning program, which is planned for learning basic mathematics in a middle school, in order to use it for experimentation at a professional school. The assessment of the experimentation is based on teache…

Statistics education research multidisciplinarity context experimentation.Statistics education researchSettore SECS-S/05 - Statistica SocialeInvestigación de educación estadística
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Enseñanza de Estadística en un contexto multidisciplinar: una experimentación en un instituto italiano

2019

III Congreso Internacional Virtual de Educación Estadística (CIVEEST), 21-24 febrero de 2019. [www.ugr.es/local/fqm126/civeest.html]

Statistics education researchInvestigación de educación estadística
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Inclusión de Tecnologías de la Información y Comunicación en la formación estadística

2011

Tomando en cuenta las dificultades que manifiestan los alumnos para comprender la concepción de modelos estadísticos, en un curso de grado de Probabilidad y Estadística para Ingeniería se planteó la incorporación de recursos didácticos con soporte tecnológico. Para favorecer la interacción se creó un grupo en la plataforma Google donde participaron libremente alumnos y docentes. Paralelamente se diseñó una secuencia didáctica referida a variables aleatorias, con soporte en la planilla Excel. Ambas propuestas fueron evaluadas en forma cualitativa y cuantitativa mediante registros de clases y encuestas a los alumnos. Los resultados permitieron identificar debilidades y fortalezas así como ref…

TICprobabildad y estadísticaProbabilidad y Estadísticaingenieríaingeniería; probabildad y estadística; TIC; excelIngeniería. Probabilidad y Estadística. Tecnologías de Información y Comunicación. Excelexcellcsh:Llcsh:L7-991lcsh:Education (General)lcsh:Education@tic. revista d'innovació educativa
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Propuesta bayesiana para la elaboración de mapas genéticos

2016

En los últimos años, los avances en la investigación biotecnológica, permiten manipular genes o grupos de genes de forma específica en el genoma de los organismos vegetales para producir cultivos con mejores características. Su objetivo es la obtención de especies mejoradas con peculiaridades deseables como un crecimiento más rápido, capaces de una adaptación al medio en el que se desarrollan, más resistentes a plagas o a enfermedades o simplemente proporcionando frutos más grandes, uniformes y de mejor calidad. La investigación y el desarrollo sobre los marcadores moleculares está contribuyendo a la comprensión de los resultados derivados de la herencia de caracteres cuantitativos y a una …

UNESCO::CIENCIAS DE LA VIDA::Genética:CIENCIAS DE LA VIDA::Genética [UNESCO]bayesianainferencia:MATEMÁTICAS::Estadística ::Técnicas de inferencia estadística [UNESCO]UNESCO::MATEMÁTICAS::Estadística ::Técnicas de inferencia estadísticagenética
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