Search results for "Proportion"

showing 10 items of 877 documents

The size of juxtaluminal hypoechoic area in ultrasound images of asymptomatic carotid plaques predicts the occurrence of stroke

2013

Abstract OBJECTIVE: To test the hypothesis that the size of a juxtaluminal black (hypoechoic) area (JBA) in ultrasound images of asymptomatic carotid artery plaques predicts future ipsilateral ischemic stroke. METHODS: A JBA was defined as an area of pixels with a grayscale value 10 mm(2) (P 8 mm(2)) was still significant after adjusting for other plaque features known to be associated with increased risk, including stenosis, grayscale median, presence of discrete white areas without acoustic shadowing indicating neovascularization, plaque area, and history of contralateral TIA or stroke. Plaque area and grayscale median were not significant. Using the significant variables (stenosis, discr…

Asymptomatic carotid plaqueMaleTime Factorsmedicine.medical_treatmentCarotid endarterectomyKaplan-Meier EstimateSeverity of Illness Indexasymptomatic carotid artery stenosis; hypoecoic area; StrokeRisk FactorsCarotid StenosisUltrasonography Doppler ColorProspective cohort studyStrokeAged 80 and overNeovascularization Pathologichypoecoic areaMiddle AgedPrognosisPlaque AtheroscleroticEuropeStrokeIschemic Attack TransientPredictive value of testsFemaleRadiologymedicine.symptomjuxtaluminal hypoechoic area ultrasound images asymptomatic carotid plaques strokeCardiology and Cardiovascular MedicineCarotid Artery InternalAdultmedicine.medical_specialtyAsymptomaticRisk AssessmentAsymptomatic carotid plaque; Brain ischemia; Stroke; EchographyBrain ischemiaPredictive Value of Testsasymptomatic carotid artery stenosimedicineHumanscardiovascular diseasesAgedProportional Hazards Modelsbusiness.industryProportional hazards modelmedicine.diseaseAcoustic shadowSettore MED/11 - Malattie Dell'Apparato CardiovascolareStenosisROC CurveAsymptomatic DiseasesLinear ModelsSurgeryasymptomatic carotid artery stenosisEchographybusinessFollow-Up Studies
researchProduct

An Easy Assessment of Frailty at Baseline Independently Predicts Prognosis in Very Elderly Patients With Acute Coronary Syndromes.

2017

Background: Information about the impact of frailty in patients with acute coronary syndromes (ACS) is scarce. No study has assessed the prognostic impact of frailty as measured by the FRAIL scale in very elderly patients with ACS. Methods: The prospective multicenter LONGEVO-SCA registry included unselected patients with ACS aged 80 years or older. A comprehensive geriatric assessment was performed during hospitalization, including frailty assessment by the FRAIL scale. The primary endpoint was mortality at 6 months. Results: A total of 532 patients were included. Mean age was 84.3 years, 61.7% male. Most patients had positive troponin levels (84%) and high GRACE risk score values (mean 16…

Background informationMalemedicine.medical_specialtyTime FactorsFrail ElderlyEnfermedad cardiovascularAncianoComorbidityKaplan-Meier Estimate030204 cardiovascular system & hematologyRisk Assessment03 medical and health sciences0302 clinical medicineInternal medicineCause of DeathClinical endpointPrevalenceMedicineHumansIn patient030212 general & internal medicineProspective StudiesRegistriesAcute Coronary SyndromeGeneral NursingProportional Hazards ModelsAged 80 and overFramingham Risk ScoreEjection fractionbiologyFrailtybusiness.industryHealth PolicyMortality rateGeriatric assessmentGeneral MedicinePrognosisTroponinSurvival AnalysisSpainbiology.proteinCardiopatía coronariaFemaleGeriatrics and GerontologybusinessAncianosJournal of the American Medical Directors Association
researchProduct

Federalism, Proportionality, and Popular Will in US Presidential Elections: Did Colorado Have the Right Idea?

2015

As is well known, the United States is a federal country composed of 50 states plus the District of Columbia, where the individual states and the country as a whole are each sovereign jurisdictions. This is reflected everywhere in its political-administrative structure, including the election of the US President, who is elected by the Electoral College and not directly by the people; an issue that provokes a confrontation between abolishers of the Electoral College and supporters of the current system each time a candidate not winning the most popular votes is elected President (last time in 2000 elections). Between both extremes, there are intermediate solutions that, while continuing to r…

BallotPresidential systemSovereigntyPresidential electionConstitutionPolitical sciencemedia_common.quotation_subjectProportionality (law)FederalismElectoral collegePublic administrationmedia_common
researchProduct

Impact of preoperative risk on metastatic progression and cancer-specific mortality in patients with adverse pathology at radical prostatectomy.

2017

Objective To evaluate the impact of preoperative risk category on metastatic disease and prostate cancer-specific mortality (CSM) in patients with prostate cancer (PCa) with adverse pathology at radical prostatectomy (RP). Patients and Methods The records of 6 943 patients who underwent RP at a European tertiary centre were analysed. Biochemical recurrence (BCR), metastatic disease and CSM were assessed for patients with adverse pathology at RP, and stratified according to preoperative low- vs intermediate-/high-risk PCa groups. Kaplan–Meier, cumulative incidence, Cox regression and competing risk regression analyses were performed. Results In patients with extracapsular extension, the meta…

Biochemical recurrenceMalemedicine.medical_specialtyPathologyUrologymedicine.medical_treatment030232 urology & nephrologyUrologyKaplan-Meier EstimateLower riskCohort Studies03 medical and health sciencesProstate cancer0302 clinical medicineRisk FactorsMedicineHumansCumulative incidencePathologicalAgedProstatectomybusiness.industryProportional hazards modelProstatectomyHazard ratioProstatic NeoplasmsMiddle AgedProstate-Specific Antigenmedicine.disease030220 oncology & carcinogenesisMultivariate AnalysisbusinessBJU international
researchProduct

Bicausative matrices to measure structural change: Are they a good tool?

1999

The causative-matrix method to analyze temporal change assumes that a matrix transforms one Markovian transition matrix into another by a left multiplication of the first matrix; the method is demand-driven when applied to input-output economics. An extension is presented without assuming the demand-driven or supply-driven hypothesis. Starting from two flow matrices X and Y, two diagonal matrices are searched, one premultiplying and the second postmultiplying X, to obtain a result the closer as possible to Y by least squares. The paper proves that the method is deceptive because the diagonal matrices are unidentified and the interpretation of results is unclear. Keywords : Input-Output ; Ch…

BiproportionBicausativePure mathematicsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelsjel:C63jel:C67JEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisLeast squaresMeasure (mathematics)Interpretation (model theory)JEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingSylvester's law of inertiaMatrix (mathematics)Diagonal matrixStatisticsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceGeneral Environmental ScienceMathematicsJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Modelseconomic theoryhumanities social sciencessciences humaines et socialesStochastic matrixStructural ChangeGeneral Social Scienceseconomics[SHS.ECO]Humanities and Social Sciences/Economics and Financejel:D57CausativeJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingChaosMultiplicationThe Annals of Regional Science
researchProduct

Forecast Output Coincidence and Biproportion: Two Criteria to Determine the Orientation of an Economy. Comparison for France (1980-1997)

2002

International audience; The method of forecast output coincidence used to determine if sectors are demand-sided or supply-sided in an input-output framework mixes two effects, the structural effect (choosing between demand and supply side models) and the effect of an exogenous factor (final demand or added-value). The note recalls that another method is possible, the comparison of the stability of technical and allocation coefficients, generalized by the biproportional filter: if for a sector, after biproportional filtering, column coefficients are more stable than row coefficients, then this sector is declared as not supply-sided (but one cannot decide that it is demand-sided anyway), and …

BiproportionEconomics and EconometricsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsSupplyChangeJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisStability (probability)Column (database)CoincidenceSupply and demandMicroeconomicsJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingEconometricsEconomicsDemandJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceInput/outputJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsOrientation (computer vision)Exogenous factorFilter (signal processing)[SHS.ECO]Humanities and Social Sciences/Economics and FinanceJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C63 - Computational Techniques • Simulation ModelingInput-OutputRAS
researchProduct

The variations of technical and allocation coefficients : are they comparable really ?

1995

Two great alternative hypothesis are possible in the analysis input-output : the model may be demand-driven (Leontief) or supply-driven (Ghosh). To test the consistency of these hypotheses on the long term, this paper studies the interest of proportional filters (comparison of column or row coefficients) and the interest of the biproportional filter for the temporalcomparison of input-output matrices. An application is proposed for France between 1980 and 1993. The result is the following : in the long period, there are more sectors supply-driven than demand-driven (i.e. row coefficients are less variable than column coefficients for the majority of the sectors). (FRE) Deux grandes hypothès…

BiproportionSupply-drivenInput-outputDemand-driven[ SHS.ECO ] Humanities and Social Sciences/Economies and financesChange[SHS.ECO] Humanities and Social Sciences/Economics and Finance[SHS.ECO]Humanities and Social Sciences/Economics and FinanceRAS
researchProduct

A biproportional filter to compare technical and allocation coefficient variations

1997

International audience; In input-output analysis there are two alternate possibilities between Leontief's mechanism (fixed technical coefficients) and Ghosh's mechanism (fixed allocation coefficients). Testing the long term consistency of these mechanisms entails comparing input-output matrices over time. This paper challenges the value of proportional filters (separate comparison of column and row coefficients) and introduces the biproportional filter which allows simultaneous comparison of column and rows. An application is proposed using French input-output tables for 1980 and 1993. The stability of column coefficients cannot be taken for granted and generally, for any sector, both rows …

BiproportionSupply-drivenJEL: C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output ModelsChangeJEL: D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and AnalysisEnvironmental Science (miscellaneous)DevelopmentRow and column spacesStability (probability)Column (database)Consistency (statistics)Demand-drivenStatisticsComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONApplied mathematicsJEL : D - Microeconomics/D.D5 - General Equilibrium and Disequilibrium/D.D5.D57 - Input–Output Tables and Analysis[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceMathematicsInput/outputJEL : C - Mathematical and Quantitative Methods/C.C6 - Mathematical Methods • Programming Models • Mathematical and Simulation Modeling/C.C6.C67 - Input–Output Models[SHS.ECO]Humanities and Social Sciences/Economics and FinanceTerm (time)Input-OutputFilter (video)RowRAS
researchProduct

The biproportional factorial analysis

1993

Beyond the Factorial Analysis of Correspondences, the paper presents a newmethod of data analysis: the Biproportional Factorial Analysis. In the Factorial Analysis of Correspondences, the matrix to be diagonalised is the product o f the two matrices o f profiles, row and columns: this matrix is not symmetrical. In the Biproportional Factorial Analysis, the matrix to be diagonalised is the symmetrical product o f an intermediate matrix over itself; this intermediate matrix is calculated as the biproportion o f the data matrix over normalisedmargins. This provides a full symmetry between rows and columns. After recalling the Factorial Analysis of Correspondences, the paper recall what it is b…

Biproportion[ MATH ] Mathematics [math]Factorial analysis[MATH] Mathematics [math]RAS
researchProduct

About the criteria of output coincidence for forecasts to determine the orientation of the economy (application for France, 1980-1997)

2000

This note indicates that the method of output coincidence for forecasts used to determine if sectors are demand-driven or supply-driven in an input-output framework mixes two effects, the structural effect (choosing between demand and supply driven models) and the effect of an exogenous factor (final demand or added-value). The note recalls that another method is possible, the comparison of the stability of technical and allocation coefficients, generalized by the biproportional filter: if for a sector, after biproportional filtering, column coefficients are more stable than row coefficients, then this sector is declared as not supply-driven (but one cannot decide that it is demand-driven a…

Biproportionjel:C63EconomicsSupplyjel:C67Change[SHS.ECO]Humanities and Social Sciences/Economics and Financejel:D57ManagementGestionEconomic theoryInput-outputDemandEconomie[ SHS.ECO ] Humanities and Social Sciences/Economies and finances[SHS.ECO] Humanities and Social Sciences/Economics and FinanceManagement economicsRAS
researchProduct