Search results for "Linear Model"

showing 8 items of 598 documents

A method of measuring the apical base

1996

SUMMARY The maxillary and mandibular apical base areas were measured, using a gnathograph, on the study casts of 156 adults and children representing Class II division 1, Class II division 2 and Class III malocclusions. There were significant differences between the groups at each age. The maxillary apical base areas tended to be smaller for the adults than for the children in all three occlusal classes. By contrast, the mandibular apical base areas tended to be larger for the adults than for the children, except in Class II division 1 malocclusion. Following a logarithmic transformation to stabilize the variance, regression lines were fitted to relate the size of the maxillary and mandibul…

AdultMaleAdolescentCephalometryDentistryOrthodonticsMandibleClass iiiMalocclusion Angle Class IIBiologyDental ArchTooth ApexAlveolar ProcessMaxillamedicineHumansClass II division 1 malocclusionChildBase (exponentiation)Analysis of Variancebusiness.industryAge FactorsMandiblemedicine.diseaseModels DentalMalocclusion Angle Class IIIMaxillaLinear ModelsRegression AnalysisFemaleMalocclusionbusinessThe European Journal of Orthodontics
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When less means more: evolutionary and developmental hypotheses in rodent molars.

2012

10 pages; International audience; Tooth number in rodents is an example of reduction in evolution. All rodents have a toothless diastema lacking canine and most premolars present in most other mammals. Whereas some rodent lineages retained one premolar (p4), many others lost it during evolution. Recently, an 'inhibitory cascade' developmental model (IC) has been used to predict how the first molar (m1) influences the number and relative sizes of the following distal molars (m2 and m3). The model does not, however, consider the presence of premolars, and here we examine whether the premolar could influence and constrain molar proportions during development and evolution. By investigating a l…

0106 biological sciencesMolarRodentmolar proportionsRodentiapremolarBiologyMacroevolutionModels Biological010603 evolutionary biology01 natural sciencesMandibular first molar03 medical and health sciencesstomatognathic systembiology.animalevolutionPremolarmedicineAnimalsdevelopmentEcology Evolution Behavior and Systematics[ SDU.STU.PG ] Sciences of the Universe [physics]/Earth Sciences/Paleontology030304 developmental biology0303 health sciencesmacroevolutionDentition[SDV.BID.EVO]Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]Anatomyinhibitory cascadeBiological EvolutionMolar[ SDV.BID.EVO ] Life Sciences [q-bio]/Biodiversity/Populations and Evolution [q-bio.PE]medicine.anatomical_structureEvolutionary biologyrodentsDiastemaLinear ModelsBasal phenotype[SDU.STU.PG]Sciences of the Universe [physics]/Earth Sciences/Paleontology
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Adherence to the Mediterranean diet is associated with better quality of life: data from the Osteoarthritis Initiative

2016

BACKGROUND The Mediterranean diet has positively influenced various medical conditions, but only a paucity of studies has considered the relation between the Mediterranean diet and quality of life (QOL) among people living in North America. OBJECTIVE We investigated whether a higher adherence to the Mediterranean diet (aMED) was associated with better QOL and decreased pain, stiffness, disability, and depression in a large cohort of North Americans from the Osteoarthritis Initiative. DESIGN aMED was evaluated through a validated Mediterranean diet score categorized into quintiles. Outcomes of interest were QOL [assessed with the 12-Item Short-Form Health Outcome Survey (SF-12)]; disability,…

0301 basic medicineMaleMultivariate analysisMediterranean dietCross-sectional studyMedicine (miscellaneous)MediterraneanLogistic regressionDiet MediterraneanBody Mass Index0302 clinical medicineMediterranean diet; depression; disability; pain; quality of life osteoarthritis initiativeQuality of lifeSurveys and Questionnaires030212 general & internal medicineNutrition and DieteticsCenter for Epidemiologic Studies Depression ScaleMiddle AgeddepressionFemalemedicine.medical_specialtyWOMACquality of life osteoarthritis initiativePaindepression Mediterranean diet quality of life osteoarthritis initiative pain disability03 medical and health sciencesNutritional Epidemiology and Public HealthMediterranean dietOsteoarthritismedicineHumansAged030109 nutrition & dieteticsbusiness.industryDietMediterranean diet; depression; disability; pain; quality of life osteoarthritis initiative; Aged; Body Mass Index; Cross-Sectional Studies; Energy Intake; Female; Humans; Linear Models; Logistic Models; Male; Middle Aged; Multivariate Analysis; North America; Osteoarthritis; Pain; Quality of Life; Socioeconomic Factors; Surveys and Questionnaires; Diet Mediterranean; Patient ComplianceCross-Sectional StudiesLogistic ModelsdisabilitySocioeconomic FactorsMultivariate AnalysisNorth AmericaPhysical therapyLinear ModelsQuality of LifePatient CompliancebusinessEnergy IntakeBody mass indexDemography
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Are nonlinear model-free conditional entropy approaches for the assessment of cardiac control complexity superior to the linear model-based one?

2016

Objective : We test the hypothesis that the linear model-based (MB) approach for the estimation of conditional entropy (CE) can be utilized to assess the complexity of the cardiac control in healthy individuals. Methods : An MB estimate of CE was tested in an experimental protocol (i.e., the graded head-up tilt) known to produce a gradual decrease of cardiac control complexity as a result of the progressive vagal withdrawal and concomitant sympathetic activation. The MB approach was compared with traditionally exploited nonlinear model-free (MF) techniques such as corrected approximate entropy, sample entropy, corrected CE, two k -nearest-neighbor CE procedures and permutation CE. Electroca…

Computer scienceEntropyBiomedical EngineeringSensitivity and Specificity01 natural sciencesApproximate entropy03 medical and health sciencesEntropy (classical thermodynamics)0302 clinical medicineHeart RateHeart Rate Determination0103 physical sciencesStatisticsHumansEntropy (information theory)Autonomic nervous systemComputer SimulationEntropy (energy dispersal)010306 general physicsEntropy (arrow of time)Heart rate variabilityFeedback PhysiologicalConditional entropyEntropy (statistical thermodynamics)Head-up tiltModels CardiovascularLinear modelCardiovascular regulationReproducibility of ResultsHeartStatistical modelMutual informationSample entropyMutual informationNonlinear DynamicsConcomitantSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear ModelsAlgorithmRandom variableAlgorithms030217 neurology & neurosurgeryEntropy (order and disorder)
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Birth Weight and Prenatal Exposure to Polychlorinated Biphenyls (PCBs) and Dichlorodiphenyldichloroethylene (DDE): A Meta-analysis within 12 European…

2011

Abstract: Objectives: Exposure to high concentrations of persistent organochlorines may cause fetal toxicity, but the evidence at low exposure levels is limited. Large studies with substantial exposure contrasts and appropriate exposure assessment are warranted. Within the framework of the EU (European Union) ENRIECO (ENvironmental Health RIsks in European Birth Cohorts) and EU OBELIX (OBesogenic Endocrine disrupting chemicals: LInking prenatal eXposure to the development of obesity later in life) projects, we examined the hypothesis that the combination of polychlorinated biphenyls (PCBs) and dichlorodiphenyldichloroethylene (DDE) adversely affects birth weight. Methods: We used maternal a…

MaleHealth Toxicology and MutagenesisPhysiologyReview010501 environmental sciences01 natural sciencesCohort Studieschemistry.chemical_compound0302 clinical medicinePregnancyBirth Weight030212 general & internal medicinePCBsgestational ageSmokingGestational ageFetal BloodPolychlorinated Biphenyls3. Good healthEuropeChemistryDichlorodiphenyldichloroethyleneMeta-analysisToxicityDDE/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingEnvironmental PollutantsFemaleCohort studyAdultmedicine.medical_specialtyBirth weightDichlorodiphenyl Dichloroethylene03 medical and health sciencesYoung AdultSex Factorsbirth cohort studiesSDG 3 - Good Health and Well-beingInternal medicinemedicineHumansBiology0105 earth and related environmental sciencesPregnancyFetusMilk Humanbusiness.industryPublic Health Environmental and Occupational Healthmedicine.diseasemeta-analysisreproductive effectsEndocrinologychemistryLinear ModelsHuman medicinebusinessEnvironmental Health Perspectives
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Variance component analysis to assess protein quantification in biomarker discovery. Application to MALDI-TOF mass spectrometry.

2017

International audience; Controlling the technological variability on an analytical chain is critical for biomarker discovery. The sources of technological variability should be modeled, which calls for specific experimental design, signal processing, and statistical analysis. Furthermore, with unbalanced data, the various components of variability cannot be estimated with the sequential or adjusted sums of squares of usual software programs. We propose a novel approach to variance component analysis with application to the matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) technology and use this approach for protein quantification by a classical signal processing algori…

0301 basic medicineStatistics and ProbabilityMALDI-TOFexperimental designBiometryprotein quantificationQuantitative proteomicsVariance component analysis[ CHIM ] Chemical Sciences01 natural sciencesSignaltechnological variability010104 statistics & probability03 medical and health sciencesstatistical analysis[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing[CHIM.ANAL]Chemical Sciences/Analytical chemistryComponent (UML)[SDV.BBM.GTP]Life Sciences [q-bio]/Biochemistry Molecular Biology/Genomics [q-bio.GN]biomarker discoverysum of squares type0101 mathematicsBiomarker discoverysignal processingMathematicsSignal processingAnalysis of Variance[ PHYS ] Physics [physics]Noise (signal processing)ProteinsGeneral MedicineVariance (accounting)[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]030104 developmental biologySpectrometry Mass Matrix-Assisted Laser Desorption-IonizationLinear Modelsvariance components[ CHIM.ANAL ] Chemical Sciences/Analytical chemistryStatistics Probability and UncertaintyBiological systemAlgorithmsBiomarkersBiometrical journal. Biometrische Zeitschrift
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Brief interventions in counselling for nutrition and the prevalence of metabolic syndrome in primary care adult patients

2018

This research i) examined the influence of a brief nutrition-based intervention among primary care patients in changing nutrition and clinical values related to metabolic syndrome (study 1), and ii) assessed nutrition and the prevalence of metabolic syndrome and its clinical determinants among primary care patients in different sociodemographic groups (study 2). In study 1, a systematic literature review was conducted on eight databases during Sept.-Oct. 2016 with a final update in Nov. 2017. In study 2, data (n=557 for RO II-III, n=251 for RO IV-V) collected in primary care practices in Central Finland in 2006-2008 for the EVI study were analysed using Chi-Square test, GLM and Logistic Reg…

keskivartalolihavuuslifestyleobesitysystolic blood pressureelintavatdiastolinen verenpaineChi-square-testiGeneral Linear Model (GLM)nutritional behaviourLogistinen regressiobrief interventionmetabolic syndromeplasma (liquids)abdominal obesityravitsemuskäyttäytyminenglukoosiprimary caresystolinen verenpaineaineenvaihduntahäiriötmetabolic disordersCentral Finlandglucosemetabolinen oireyhtymäelämäntapainterventioninterventiolifestyle habitsperusterveydenhuoltososiodemografiset tekijätterveydenhuoltoKeski-Suomidiastolic blood pressureKliiniset arviotblood pressurevarhainen puuttuminencounsellingearly interventionverenpainenutritionplasma (neste)lihavuusdieteticssociodemographic characteristicspublic health serviceravitsemus
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speedglm: Fitting Linear and Generalized Linear Models to large data sets.

2009

This is an R packge to fit (generalized) linear models to large data sets. For data loaded in R memory the fitting is usually fast, especially if R is linked against an optimized BLAS. For data sets of size greater of R memory, the fitting is made by an updating algorithm

generalized linear modelSettore SECS-S/01 - Statisticalarge dataset
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