Search results for "Linear Model"

showing 10 items of 598 documents

Physical function and lean body mass as predictors of bone loss after hip fracture: a prospective follow-up study

2020

Abstract Background: Predictors of bone deterioration after hip fracture have not been well characterized. The aim of this study was to examine the associations of physical function and lean body mass (LBM) with loss of bone density and strength in older people recovering from a hip fracture. Methods: A total of 81 over 60-year-old, community-dwelling men and women operated for a hip fracture participated in this 1-year prospective follow-up study. Distal tibia total volumetric bone mineral density (vBMDTOT, mg/cm³) and compressive strength index (BSI, g²/cm⁴) and mid-tibia cortical vBMD (vBMDCO, mg/cm³) and bending strength index (SSI, mm³) were assessed in both legs by peripheral quantita…

MaleAginglcsh:Diseases of the musculoskeletal systemfyysinen toimintakykyluuntiheysWalkingHip fracturemurtumatBone DensityBone mineral densityHumansProspective StudiespQCTAgedAged 80 and overTibiaHip FracturesMiddle AgedPhysical Functional PerformancelonkkaBone Diseases MetabolicikääntyminenlihasmassaLean body massMultivariate AnalysisBody CompositionLinear ModelsPhysical functionFemaleIndependent Livinglcsh:RC925-935human activitiesResearch ArticleFollow-Up StudiesBMC Musculoskeletal Disorders
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Modeling temperature effects on mortality: multiple segmented relationships with common break points.

2008

We present a model for estimation of temperature effects on mortality that is able to capture jointly the typical features of every temperature-death relationship, that is, nonlinearity and delayed effect of cold and heat over a few days. Using a segmented approximation along with a doubly penalized spline-based distributed lag parameterization, estimates and relevant standard errors of the cold- and heat-related risks and the heat tolerance are provided. The model is applied to data from Milano, Italy.

Statistics and ProbabilityDistributed lagHot TemperatureTime FactorsInjury controlPoison controltemperature effectRisk FactorsStatisticsHumansSegmented regressionMortalitysegmented regressionWeatherSimulationMathematicsLikelihood FunctionsModels StatisticalTemperatureGeneral MedicineHeat toleranceCold TemperatureSpline (mathematics)Nonlinear systemStandard errorItalyNonlinear DynamicsLinear ModelsRegression AnalysisStatistics Probability and Uncertaintybreak pointSettore SECS-S/01 - StatisticaAlgorithmsBiostatistics (Oxford, England)
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Immune-mediated change in the expression of a sexual trait predicts offspring survival in the wild.

2011

9 pages; International audience; BACKGROUND: The "good genes" theory of sexual selection postulates that females choose mates that will improve their offspring's fitness through the inheritance of paternal genes. In spite of the attention that this hypothesis has given rise to, the empirical evidence remains sparse, mostly because of the difficulties of controlling for the many environmental factors that may covary with both the paternal phenotype and offspring fitness. Here, we tested the hypothesis that offspring sired by males of a preferred phenotype should have better survival in an endangered bird, the houbara bustard (Chlamydotis undulata undulata). METHODOLOGY/PRINCIPAL FINDINGS: We…

LipopolysaccharidesMale0106 biological sciencesSexual SelectionHereditylcsh:Medicine[ SDV.IMM.IA ] Life Sciences [q-bio]/Immunology/Adaptive immunology01 natural sciencesCourtshipSexual Behavior AnimalBehavioral EcologyOrnithology[ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimal Breedinglcsh:Sciencereproductive and urinary physiologyAnimal Managementmedia_commonGenetics0303 health sciencesMultidisciplinaryEcologyAnimal BehaviorInheritance (genetic algorithm)PhenotypePhenotypes[SDV.IMM.IA]Life Sciences [q-bio]/Immunology/Adaptive immunologySexual selectionbehavior and behavior mechanismsSpiteTraitFemaleResearch ArticleEvolutionary ProcessesOffspringmedia_common.quotation_subjectZoologyAnimals WildBiology010603 evolutionary biologyInjectionsBirds03 medical and health sciencesQuantitative Trait HeritableGeneticsAnimalsBustardBiologyProportional Hazards Models030304 developmental biologyEvolutionary Biologylcsh:RCourtshipReproducibility of Resultsbiology.organism_classificationSurvival AnalysisEvolutionary EcologyLinear Modelslcsh:QVeterinary SciencePopulation EcologyZoology[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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The continuity of effect of schizophrenia polygenic risk score and patterns of cannabis use on transdiagnostic symptom dimensions at first-episode ps…

2021

The work was supported by Guarantors of Brain post-doctoral clinical fellowship to DQ; Clinician Scientist Medical Research Council fellowship (project reference MR/M008436/1) to MDF; Heisenberg professorship from the German Research Founda- tion (grant no. 389624707) to UR; the National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. The EU-GEI Project is funded by the European Community’s Seventh Framework Programme under grant agreement No. HEALTH-F2-…

medicine.medical_specialtyPsychosisPopulationNeurosciences. Biological psychiatry. NeuropsychiatryPHENOTYPESILLNESSPsychotic DisorderPredictive markersArticleCellular and Molecular NeuroscienceDEFICIT SYNDROMERisk FactorsFirst episode psychosismedicineSettore MED/48 -Scienze Infermierist. e Tecn. Neuro-Psichiatriche e Riabilitat.HumansCannabiClinical geneticsGenetic riskVALIDITYeducationSettore MED/25 - PsichiatriaSCHEDULEBiological PsychiatryMETAANALYSISCannabisUTILITYeducation.field_of_studyRisk FactorESQUIZOFRENIAASSOCIATIONCannabis usemedicine.diseaseBIFACTOR MODELPsychiatry and Mental healthPsychotic DisordersINTERRATER RELIABILITYSchizophreniaLinear ModelsSchizophreniaLinear ModelMedical geneticsPolygenic risk scorePsychologyHumanRC321-571Clinical psychology
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Weighted-average least squares estimation of generalized linear models

2018

The weighted-average least squares (WALS) approach, introduced by Magnus et al. (2010) in the context of Gaussian linear models, has been shown to enjoy important advantages over other strictly Bayesian and strictly frequentist model averaging estimators when accounting for problems of uncertainty in the choice of the regressors. In this paper we extend the WALS approach to deal with uncertainty about the specification of the linear predictor in the wider class of generalized linear models (GLMs). We study the large-sample properties of the WALS estimator for GLMs under a local misspecification framework that allows the development of asymptotic model averaging theory. We also investigate t…

Generalized linear modelEconomics and EconometricsGeneralized linear modelsBayesian probabilityGeneralized linear modelSettore SECS-P/05 - EconometriaLinear predictionContext (language use)01 natural sciencesLeast squares010104 statistics & probabilityWALS; Model averaging; Generalized linear models; Monte Carlo; AttritionFrequentist inference0502 economics and businessAttritionEconometricsApplied mathematicsStatistics::Methodology0101 mathematicsMonte Carlo050205 econometrics MathematicsWALSApplied Mathematics05 social sciencesLinear modelEstimatorModel averaging
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Gas chromatographic analysis of resveratrol in plasma, lipoproteins and cells after in vitro incubations

1998

Resveratrol is a trihydroxystilbene present in certain red wines. It may play a role in the inhibition of lipoprotein oxidation and platelet activity. We have developed the first method to measure resveratrol in animal and human samples and to study its incorporation in vitro. After adding epicoprostanol as an internal standard, samples are subjected to lipid extraction in the presence of antioxidant and under dim light to minimize both denaturation and isomerization of the trans-resveratrol to the cis-form. Extracts were purified by cold acetone precipitation and the resveratrol-containing acetone phase was evaporated under nitrogen. The resveratrol was analyzed as a trimethylsilyl derivat…

Chromatography GasErythrocytesAntioxidantendocrine system diseasesmedicine.medical_treatmentResveratrolSensitivity and Specificitychemistry.chemical_compoundStilbenesAcetonemedicineAnimalsHumansPlatelet activationLipoprotein oxidationDetection limitChromatographyorganic chemicalsReproducibility of Resultsfood and beveragesStereoisomerismGeneral ChemistryRatsLipoproteins LDLchemistryResveratrolCalibrationLinear ModelsGas chromatographyQuantitative analysis (chemistry)Platelet Aggregation InhibitorsJournal of Chromatography B: Biomedical Sciences and Applications
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Linear spectral mixture modelling to estimate vegetation amount from optical spectral data

1996

Abstract Spectral mixture modelling has developed in recent years as a suitable remote sensing tool for analysing the biophysical and compositional character of ground surfaces. In this paper the potentiality of the linear spectral mixture model to extract vegetation related parameters from 0·4-2·5 μm reflectance data has been tested. High spectral resolution reflectance measurements of soil-plant mixtures with different soil colour and plant densities were carried out in a laboratory experiment. The constrained least-squares and the factor analysis unmixing procedures were applied to generate endmember fractions of the components present in the mixtures and to test the validity of the mode…

EndmemberApplied physicsLinear modelGeneral Earth and Planetary SciencesEnvironmental scienceVegetationSpectral resolutionMixture modelMultispectral ScannerMultispectral pattern recognitionRemote sensingInternational Journal of Remote Sensing
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Comparative analysis of vehicle to pole collision models established using analytical methods and neural networks

2010

This paper presents a comparison between two modeling approaches of vehicle to pole collision. Firstly, analytical and curve fitting methods are explained and subsequently they are utilized to create lumped parameter models. Having parameters of such systems and their responses we proceed to brief description of the radial basis function neural network and its application to the linear models' coefficients' identification. Comparative analysis of the models formulated according to those two different manners is done. (6 pages)

EngineeringIdentification (information)Artificial neural networkbusiness.industryRadial basis function neuralLinear modelCurve fittingCrashworthinessControl engineeringbusinessCollisionAlgorithm5th IET International Conference on System Safety 2010
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Studies on adaptation to complete dentures. Part II: Oral stereognosis and tactile sensibility

1995

High oral perception is thought to contribute to poor adaptation to new dentures. The aim of this study was to evaluate the oral stereognosis and tactile sensibility in edentate subjects and relate these to patient age and capability of adaptation to new prostheses. A total of 67 patients were provided with new complete dentures 2-3 weeks before the experiment. In 54 subjects, the oral stereognosis was evaluated by 12 different test-pieces, which were placed unseen on the tongue and had to be recognized. In 38 patients, the oral tactile sensibility was determined in the premolar area using copper foils. The capability of adaptation was evaluated by a questionnaire. Denture retention was ass…

AdultMaleStereognosismedicine.medical_treatmentDentistryAdaptation (eye)Physical examinationStatistics NonparametricDiscrimination PsychologicalTongueTongueSurveys and QuestionnairesSensory thresholdAdaptation PsychologicalmedicineHumansGeneral DentistryDenture RetentionAgedAged 80 and overDenture Completemedicine.diagnostic_testTactile sensibilitybusiness.industryAge FactorsMiddle AgedDenture Retentionmedicine.anatomical_structureTouchSensory ThresholdsLinear ModelsRegression AnalysisFemaleStereognosisDenturesbusinessPsychologyJournal of Oral Rehabilitation
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Insights into the derivative-based method for nonlinear mediation models

2022

Associational mediation analysis has generally relied on the linearity of models to estimate the indirect effect as a product of regression coefficients. Very few examples of generalisations to nonlinear settings have been proposed, including a derivative-based method that, however, is far from being widely spread among scholars. In this paper, we clarify some aspects of such an approach to nonlinear mediation models, which have not been addressed by the previous literature. In addition, we run a simulation study to compare confidence intervals for the indirect effect obtained through different approaches.

mediation analysis derivative method generalised linear models bootstrap Monte Carlo method Bayesian statisticsSettore SECS-S/01 - Statistica
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