Search results for "interval"

showing 10 items of 1703 documents

Sorafenib in advanced hepatocellular carcinoma – We have won a battle not the war

2008

Sorafenib in advanced hepatocellular carcinoma. Llovet JM, Ricci S, Mazzaferro V, Hilgard P, Gane E, Blanc JF, de Oliveira AC, Santoro A, Raoul JL, Forner A, Schwartz M, Porta C, Zeuzem S, Bolondi L, Greten TF, Galle PR, Seitz JF, Borbath I, Haussinger D, Giannaris T, Shan M, Moscovici M, Voliotis D, Bruix J; SHARP Investigators Study Group. Background No effective systemic therapy exists for patients with advanced hepatocellular carcinoma. A preliminary study suggested that sorafenib, an oral multi-kinase inhibitor of the vascular endothelial growth factor receptor, the platelet-derived growth factor receptor, and Raf may be effective in hepatocellular carcinoma. Methods In this multicente…

Sorafenibmedicine.medical_specialtyHepatologybusiness.industryHazard ratiomedicine.diseaseInterim analysisPlaceboGastroenterologyPlacebo groupSystemic therapydigestive system diseasesConfidence intervalSurgeryInternal medicineHepatocellular carcinomamedicinebusinessmedicine.drugJournal of Hepatology
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Echocardiographic Image Analysis Based on the Evaluation of first Order Speckle Statistics

1992

Basic theoretical considerations on the statistical properties of the speckle phenomenon indicate that a conventional quantization (intervals of uniform width) of the received and envelope detected RF — signal is not adequate. We therefore propose a quantization scheme which is based on the application of quantization intervals producing always the same confidence level (adaptive quantization). The advantages are: homogenous distribution of speckle noise reduction to about 10 – 20 significant quantization levels (with neglectable loss of morphological information) quantitative measure (confidence level) of the separability of regions represented with different quantization levels. We furthe…

Speckle patternQuantization (signal processing)Speckle noiseEquidistantSpeckle statisticsFirst orderAlgorithmConfidence intervalEchocardiographic imageMathematics
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FEV1 and FVC predict all-cause mortality independent of cardiac function - Results from the population-based Gutenberg Health Study.

2017

Abstract Background Lung function has previously been related to increased mortality. Whether pulmonary impairment is associated with an increased mortality independent of cardiac dysfunction remains unclear. Methods In 15010 individuals from the general population (age range 35–74years, 51% men) in the Gutenberg Health Study we performed spirometry and transthoracic echocardiography. N-terminal pro-B-type natriuretic peptide (Nt-proBNP) and high-sensitive troponin I (hsTnI) were measured in all individuals. 1819 individuals with pulmonary diseases were excluded from further analysis. Results The median for forced expiratory volume in 1s (FEV1) was 94.2% and for forced vital capacity (FVC) …

SpirometryAdultMalemedicine.medical_specialtyVital capacityPopulationStatistics as TopicVital Capacity030204 cardiovascular system & hematology03 medical and health sciencesFEV1/FVC ratio0302 clinical medicineRisk FactorsInternal medicineCause of DeathForced Expiratory VolumeNatriuretic Peptide BrainmedicineHumansMortalityeducationLungAgedProportional Hazards Modelseducation.field_of_studyCOPDmedicine.diagnostic_testbusiness.industryHazard ratiorespiratory systemMiddle Agedmedicine.diseaseConfidence intervalPeptide Fragmentsrespiratory tract diseases030228 respiratory systemCardiovascular DiseasesEchocardiographyHeart failureCardiologyFemaleCardiology and Cardiovascular MedicinebusinessInternational journal of cardiology
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Interval estimation for the breakpoint in segmented regression: a smoothed score-based approach

2017

Summary This paper is concerned with interval estimation for the breakpoint parameter in segmented regression. We present score-type confidence intervals derived from the score statistic itself and from the recently proposed gradient statistic. Due to lack of regularity conditions of the score, non-smoothness and non-monotonicity, naive application of the score-based statistics is unfeasible and we propose to exploit the smoothed score obtained via induced smoothing. We compare our proposals with the traditional methods based on the Wald and the likelihood ratio statistics via simulations and an analysis of a real dataset: results show that the smoothed score-like statistics perform in prac…

Statistics and Probability010504 meteorology & atmospheric sciencesInterval estimationBreakpointinduced smoothingScore01 natural sciencesConfidence intervalchangepoint010104 statistics & probabilitypiecewise linear relationshipconfidence intervalscore inferenceStatistics0101 mathematicsStatistics Probability and UncertaintySegmented regressionSettore SECS-S/01 - StatisticaStatisticSmoothing0105 earth and related environmental sciencesMathematicsAustralian & New Zealand Journal of Statistics
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A new mathematical approach for the estimation of the AUC and its variability under different experimental designs in preclinical studies

2011

The aim of the present work was to develop a new mathematical method for estimating the area under the curve (AUC) and its variability that could be applied in different preclinical experimental designs and amenable to be implemented in standard calculation worksheets. In order to assess the usefulness of the new approach, different experimental scenarios were studied and the results were compared with those obtained with commonly used software: WinNonlin® and Phoenix WinNonlin®. The results do not show statistical differences among the AUC values obtained by both procedures, but the new method appears to be a better estimator of the AUC standard error, measured as the coverage of 95% confi…

Statistics and ProbabilityComputer scienceDrug Evaluation PreclinicalAdministration Oralcomputer.software_genreSoftwareCiprofloxacinArea under curveVariance estimationAnimalsPharmacology (medical)Rats WistarPharmacologyModels Statisticalbusiness.industryDesign of experimentsEstimatorModels TheoreticalConfidence intervalRatsStandard errorResearch DesignArea Under CurveData miningbusinesscomputerSoftwarePharmaceutical Statistics
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Applications de type Lasota–Yorke à trou : mesure de probabilité conditionellement invariante et mesure de probabilité invariante sur l'ensemble des …

2003

Abstract Let T :I→I be a Lasota–Yorke map on the interval I, let Y be a nontrivial sub-interval of I and g 0 :I→ R + , be a strictly positive potential which belongs to BV and admits a conformal measure m. We give constructive conditions on Y ensuring the existence of absolutely continuous (w.r.t. m) conditionally invariant probability measures to nonabsorption in Y. These conditions imply also existence of an invariant probability measure on the set X∞ of points which never fall into Y. Our conditions allow rather “large” holes.

Statistics and ProbabilityDiscrete mathematicsPure mathematicsHausdorff dimensionErgodic theoryInvariant measureInterval (mathematics)Statistics Probability and UncertaintyInvariant (mathematics)Absolute continuityMeasure (mathematics)Probability measureMathematicsAnnales de l'Institut Henri Poincare (B) Probability and Statistics
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Temporal evolution of some mortality indicators: Application to Spanish data

2012

[EN] In Spain, as in other developed countries, significant changes in mortality patterns have occurred during the 20th and 21st centuries. One reflection of these changes is life expectancy, which has improved in this period, although the robustness of this indicator prevents these changes from being of the same order as those for the probability of death. If, moreover, we bear in mind that life expectancy offers no information as to whether this improvement is the same for different age groups, it is important and necessary to turn to other mortality indicators whose past and future evolution in Spain we are going to study. These indicators are applied to Spanish mortality data for the pe…

Statistics and ProbabilityEconomics and EconometricsLee-Carter modelESTADISTICA E INVESTIGACION OPERATIVALee–Carter modelConfidence intervalBootstrapGeographyAge groupsMortality dataMortality indicatorsLife expectancyEconometricsStatistics Probability and UncertaintyDeveloped countryDemography
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Mean-field games and dynamic demand management in power grids

2013

This paper applies mean-field game theory to dynamic demand management. For a large population of electrical heating or cooling appliances (called agents), we provide a mean-field game that guarantees desynchronization of the agents thus improving the power network resilience. Second, for the game at hand, we exhibit a mean-field equilibrium, where each agent adopts a bang-bang switching control with threshold placed at a nominal temperature. At equilibrium, through an opportune design of the terminal penalty, the switching control regulates the mean temperature (computed over the population) and the mains frequency around the nominal value. To overcome Zeno phenomena we also adjust the ban…

Statistics and ProbabilityEconomics and EconometricsMains electricityViscosity solutionDynamic demand managementPopulationDistributional solutionsInterval (mathematics)law.inventionSettore ING-INF/04 - AutomaticalawControl theoryEconomicseducationeducation.field_of_studyApplied MathematicsComputer Graphics and Computer-Aided DesignThermostatMean field gameComputer Science ApplicationsPower (physics)Computational MathematicsComputational Theory and MathematicsTerminal (electronics)Dynamic demandSettore MAT/09 - Ricerca OperativaGame theoryMathematical economics
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Modeling and predicting the Spanish Bachillerato academic results over the next few years using a random network model

2016

[EN] Academic performance is a concern of paramount importance in Spain, where around of 30% of the students in the last two courses in high school, before to access to the labor market or to the university, do not achieve the minimum knowledge required according to the Spanish educational law in force. In order to analyze this problem, we propose a random network model to study the dynamics of the academic performance in Spain. Our approach is based on the idea that both, good and bad study habits, are a mixture of personal decisions and influence of classmates. Moreover, in order to consider the uncertainty in the estimation of model parameters, we perform a lot of simulations taking as t…

Statistics and ProbabilityEstimation020203 distributed computingRandom network modelingOperations researchComputer scienceDifferential Evolution (DE)010103 numerical & computational mathematics02 engineering and technologyCondensed Matter Physics01 natural sciencesRandom network modelConfidence intervalTransmission dynamicsOrder (exchange)0202 electrical engineering electronic engineering information engineeringAcademic underachievement0101 mathematicsPredictionMATEMATICA APLICADAPhysica A: Statistical Mechanics and its Applications
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Centile estimation for a proportion response variable

2015

This paper introduces two general models for computing centiles when the response variable Y can take values between 0 and 1, inclusive of 0 or 1. The models developed are more flexible alternatives to the beta inflated distribution. The first proposed model employs a flexible four parameter logit skew Student t (logitSST) distribution to model the response variable Y on the unit interval (0, 1), excluding 0 and 1. This model is then extended to the inflated logitSST distribution for Y on the unit interval, including 1. The second model developed in this paper is a generalised Tobit model for Y on the unit interval, including 1. Applying these two models to (1-Y) rather than Y enables model…

Statistics and ProbabilityEstimationDistribution (number theory)EpidemiologyLogitSkew01 natural sciences010104 statistics & probability03 medical and health sciencesVariable (computer science)0302 clinical medicineUnit interval (data transmission)030225 pediatricsStatisticsProbability distributionTobit model0101 mathematicsMathematicsStatistics in Medicine
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