Search results for "Proportion"

showing 10 items of 877 documents

Improved prediction of survival by a risk factor-integrated inflammatory score in Sorafenib treated hepatocellular carcinoma

2017

Background and aims Inflammation affects progression of hepatocellular carcinoma (HCC). We therefore postulate that systemic inflammatory markers could help to predict prognosis in HCC patients receiving sorafenib therapy. Methods Overall survival (OS) of HCC patients receiving palliative sorafenib treatment was correlated with the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), C-reactive protein to albumin ratio (CAR), Glasgow prognostic score (GPS) and the modified GPS (mGPS) along with clinicopathological parameters. Predictors of OS were assessed by multivariable Cox regression and receiver operating characteristics and area under the curve (ROC-AUC) analyses.…

SorafenibOncologymedicine.medical_specialtyHepatologyReceiver operating characteristicProportional hazards modelbusiness.industryArea under the curvemedicine.diseasedigestive system diseases03 medical and health sciences0302 clinical medicine030220 oncology & carcinogenesisInternal medicineHepatocellular carcinomaCohortmedicine030211 gastroenterology & hepatologyRisk factorNeutrophil to lymphocyte ratiobusinessneoplasmsmedicine.drugJournal of Hepatology
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Ramucirumab in elderly patients with hepatocellular carcinoma and elevated alpha-fetoprotein after sorafenib in REACH and REACH-2.

2020

Background & Aims: Limited data on treatment of elderly patients with hepatocellular carcinoma (HCC) increase the unmet need. REACH and REACH-2 were global phase III studies of ramucirumab in patients with HCC after prior sorafenib, where patients with alpha-fetoprotein (AFP) ≥400 ng/mL showed an overall ssurvival (OS) benefit for ramucirumab. These post-hoc analyses examined efficacy and safety of ramucirumab in patients with HCC and baseline AFP ≥ 400 ng/mL by three prespecified age subgroups (<65, ≥65 to <75 and ≥75 years). Methods: Individual patient data were pooled from REACH (baseline AFP ≥400 ng/mL) and REACH-2. Kaplan-Meier and Cox proportional hazards regression methods …

Sorafenibmedicine.medical_specialtyCarcinoma HepatocellularHepatocellular carcinoma[SDV.CAN]Life Sciences [q-bio]/CancerSorafenib intolerancePlaceboAntibodies Monoclonal HumanizedGastroenterologyRamucirumabRamucirumabCàncer de fetge03 medical and health sciences0302 clinical medicineElderlyInternal medicineCox proportional hazards regressionMedicineHumansAgedHepatologyElevated alpha-fetoproteinbusiness.industryPersones grans dependentsHazard ratioLiver Neoplasms[SDV.MHEP.HEG]Life Sciences [q-bio]/Human health and pathology/Hépatology and GastroenterologyHepatitis CSorafenibmedicine.diseaseFrail elderly3. Good healthVEGFR2Treatment Outcome030220 oncology & carcinogenesisHepatocellular carcinoma[SDV.SP.PHARMA]Life Sciences [q-bio]/Pharmaceutical sciences/Pharmacology030211 gastroenterology & hepatologyMonoclonal antibodiesAlpha-fetoprotein (AFP)alpha-FetoproteinsbusinessAnticossos monoclonalsLiver cancermedicine.drugLiver international : official journal of the International Association for the Study of the LiverREFERENCES
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The Criterion of “Consistent and Systematic Manner” in Free Movement Law

2017

The conflict between the four freedoms and national regulation is not merely about colliding interests but also of colliding values and thus has, potentially, constitutional implications. The conflict has often been phrased as one between national sovereignty and European integration, but is far more than this. It is about marked liberalism and market regulation, the latter constituting the very fundament upon which the European welfare states rest. In settling conflicts between the two constitutional orders—the ordo-liberal and the welfare-state constitutions—the Court of Justice of the European Union (CJEU) applies the proportionality principle. However, the proportionality principle is a…

SovereigntyConstitutionmedia_common.quotation_subjectLawEuropean integrationInvocationmedia_common.cataloged_instanceProportionality (law)Welfare stateEuropean unionPsychologyLegitimacymedia_common
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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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Abstract 13257: FEV1 and FVC predict Mortality in Individuals Without Manifest Lung Disease Independent of Cardiac Performance - Results From the Pop…

2015

Background: Pulmonary disease has consistently been related to increased mortality. We investigated central spirometry variables in relation to total mortality in individuals from the general population without diagnosed lung disease also accounting for cardiac function. Methods: In 15,010 individuals from the general population (mean age 55±11 years, age range 35-74 years, 50.5% men) in the Gutenberg Health Study we performed spirometry and multimodal transthoracic echocardiography. The biomarkers N-terminal pro-B-type natriuretic peptide (Nt-proBNP) and high-sensitive troponin I (TnI) were measured in the first 5000 individuals using commercially available assays. Multivariable Cox regre…

SpirometryVital capacitymedicine.medical_specialtyeducation.field_of_studyEjection fractionmedicine.diagnostic_testProportional hazards modelbusiness.industryPopulationHazard ratiomedicine.diseaseSurgeryFEV1/FVC ratioPhysiology (medical)Internal medicineHeart failuremedicineCardiologyCardiology and Cardiovascular MedicineeducationbusinessCirculation
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Elasticity as a measure for online determination of remission points in ongoing epidemics.

2020

The correct identification of change-points during ongoing outbreak investigations of infectious diseases is a matter of paramount importance in epidemiology, with major implications for the management of health care resources, public health and, as the COVID-19 pandemic has shown, social live. Onsets, peaks, and inflexion points are some of them. An onset is the moment when the epidemic starts. A "peak" indicates a moment at which the incorporated values, both before and after, are lower: a maximum. The inflexion points identify moments in which the rate of growth of the incorporation of new cases changes intensity. In this study, after interpreting the concept of elasticity of a random va…

Statistics and Probability2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)Computer scienceEpidemiology01 natural sciencesTime010104 statistics & probability03 medical and health sciencesRemission induction0302 clinical medicinePandemicHealth careEconometricsHumansComputer Simulation030212 general & internal medicine0101 mathematicsElasticity (economics)EpidemicsPandemicsProportional Hazards Modelsbusiness.industryRemission InductionCOVID-19businessEpidemiologic MethodsRandom variableRate of growthStatistics in medicineREFERENCES
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A Log-Rank Test for Equivalence of Two Survivor Functions

1993

We consider a hypothesis testing problem in which the alternative states that the vertical distance between the underlying survivor functions nowhere exceeds some prespecified bound delta0. Under the assumption of proportional hazards, this hypothesis is shown to be (logically) equivalent to the statement [beta[log(1 + epsilon), where beta denotes the regression coefficient associated with the treatment group indicator, and epsilon is a simple strictly increasing function of delta. The testing procedure proposed consists of carrying out in terms of beta (i.e., the standard Cox likelihood estimator of beta) the uniformly most powerful level alpha test for a suitable interval hypothesis about…

Statistics and ProbabilityBiometryGaussianGeneral Biochemistry Genetics and Molecular BiologyCombinatoricssymbols.namesakeNeoplasmsLinear regressionStatisticsChi-square testHumansComputer SimulationCerebellar NeoplasmsChildEquivalence (measure theory)Proportional Hazards ModelsStatistical hypothesis testingMathematicsClinical Trials as TopicGeneral Immunology and MicrobiologyApplied MathematicsEstimatorGeneral MedicineSurvival AnalysisLog-rank testLinear ModelssymbolsGeneral Agricultural and Biological SciencesMedulloblastomaQuantileBiometrics
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Marginal hazard ratio estimates in joint frailty models for heart failure trials

2019

Abstract This work is motivated by clinical trials in chronic heart failure disease, where treatment has effects both on morbidity (assessed as recurrent non‐fatal hospitalisations) and on mortality (assessed as cardiovascular death, CV death). Recently, a joint frailty proportional hazards model has been proposed for these kind of efficacy outcomes to account for a potential association between the risk rates for hospital admissions and CV death. However, more often clinical trial results are presented by treatment effect estimates that have been derived from marginal proportional hazards models, that is, a Cox model for mortality and an Andersen–Gill model for recurrent hospitalisations. …

Statistics and ProbabilityBiometryleast false parameterDiseasejoint frailty modelRisk AssessmentStudy durationCardiovascular deathunexplained heterogeneitymedicineHumansTreatment effectComplex Regression ModelsProportional Hazards ModelsHeart FailureClinical Trials as TopicProportional hazards modelbusiness.industryheart failure trialsHazard ratioGeneral Medicinemedicine.diseaseClinical trialrecurrent eventsHeart failureAsymptomatic DiseasesStatistics Probability and UncertaintybusinessDemographyResearch PaperBiometrical Journal. Biometrische Zeitschrift
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Opportunities and challenges of combined effect measures based on prioritized outcomes

2013

Many authors have proposed different approaches to combine multiple endpoints in a univariate outcome measure in the literature. In case of binary or time-to-event variables, composite endpoints, which combine several event types within a single event or time-to-first-event analysis are often used to assess the overall treatment effect. A main drawback of this approach is that the interpretation of the composite effect can be difficult as a negative effect in one component can be masked by a positive effect in another. Recently, some authors proposed more general approaches based on a priority ranking of outcomes, which moreover allow to combine outcome variables of different scale levels. …

Statistics and ProbabilityClinical Trials as TopicEpidemiologyUnivariatecomputer.software_genreOutcome (game theory)Treatment OutcomeRankingScale (social sciences)Component (UML)Outcome Assessment Health CareMultiple comparisons problemHumansComputer SimulationData miningcomputerProportional Hazards ModelsMathematicsStatistical hypothesis testingEvent (probability theory)Statistics in Medicine
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Sample size planning for survival prediction with focus on high-dimensional data

2011

Sample size planning should reflect the primary objective of a trial. If the primary objective is prediction, the sample size determination should focus on prediction accuracy instead of power. We present formulas for the determination of training set sample size for survival prediction. Sample size is chosen to control the difference between optimal and expected prediction error. Prediction is carried out by Cox proportional hazards models. The general approach considers censoring as well as low-dimensional and high-dimensional explanatory variables. For dimension reduction in the high-dimensional setting, a variable selection step is inserted. If not all informative variables are included…

Statistics and ProbabilityClustering high-dimensional dataClinical Trials as TopicLung NeoplasmsModels StatisticalKaplan-Meier EstimateEpidemiologyProportional hazards modelDimensionality reductionGene ExpressionFeature selectionKaplan-Meier EstimateBiostatisticsPrognosisBrier scoreSample size determinationCarcinoma Non-Small-Cell LungSample SizeCensoring (clinical trials)StatisticsHumansProportional Hazards ModelsMathematicsStatistics in Medicine
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