Search results for "Epidemiology"

showing 10 items of 4214 documents

Estimation of alcohol consumption during >Fallas> festivity in the wastewater of Valencia city (Spain) using ethyl sulfate as a biomarker

2016

Alcohol consumption has been increasing in the last years and it has become a sociological problem due its derived health and safety problems. Ethyl sulfate is a secondary metabolite of the alcohol degradation that is excreted through the urine (0.010-0.016%) after alcohol ingestion and it is quite stable in water. In this study, a new methodology to determine ethyl sulfate by ion-pair liquid chromatography-tandem mass spectrometry (LC-MS/MS) was developed. Different ion-pairs and additives were tested directly in the sample extracts or in the mobile phase. The best ion-pair was set up adding 0.5M of tributylamine and 0.1% of formic acid to the sample. The limit of quantification was 0.3μgL…

Spectrometry Mass Electrospray IonizationEnvironmental EngineeringAlcohol DrinkingFormic acidPopulationUrine010501 environmental sciencesTributylamineSulfuric Acid EstersWastewaterLiquid chromatography–mass spectrometry01 natural sciencesEthyl sulfateSewage epidemiologychemistry.chemical_compoundLiquid chromatography–mass spectrometryTandem Mass SpectrometryEthanol biomarkerWater Pollution ChemicalEnvironmental ChemistryHumansAlcohol consumptioneducationWaste Management and DisposalEthyl sulfate0105 earth and related environmental sciencesHolidaysDetection limiteducation.field_of_studyChromatographyChemistry010401 analytical chemistryPollution0104 chemical sciencesWastewaterSpainBiomarkersWater Pollutants ChemicalChromatography Liquid
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Pathophysiological Factors in the Relationship between Chronological Age and Calculated Lung Age as Detected in a Screening Setting in Community-Dwel…

2016

Aim To explore the relationship between pathophysiological factors and premature lung aging in a cohort of community-dwelling subjects in a health-screening setting. Methods 16,107 pharmacy customers in Germany (5954 males, 10,153 females; mean age 59.7 years) participated in a lung function screening project by providing demographic data, including smoking status and known airway conditions and performing spirometry with a Vitalograph, a spirometry screening device. Lung age was calculated from the spirometric findings, and the difference between chronological age and calculated lung age was analyzed in its relationship to the demographic data in general linear models. Results In the overa…

SpirometryPediatricsmedicine.medical_specialtyspirometryPharmacy03 medical and health sciences0302 clinical medicineEpidemiologymedicineCOPD030212 general & internal medicinepathophysiologyAsthmaOriginal ResearchCOPDlcsh:R5-920Lungmedicine.diagnostic_testbusiness.industryGeneral Medicinerespiratory systemdyspneamedicine.diseaserespiratory tract diseasesmedicine.anatomical_structure030228 respiratory systemlung ageAgeingCohortMedicinebusinesslcsh:Medicine (General)Frontiers in Medicine
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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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Detection of spatial disease clusters with LISA functions.

2011

Detection of disease clusters is an important tool in epidemiology that can help to identify risk factors associated with the disease and in understanding its etiology. In this article we propose a method for the detection of spatial clusters where the locations of a set of cases and a set of controls are available. The method is based on local indicators of spatial association functions (LISA functions), particularly on the development of a local version of the product density, which is a second-order characteristic of spatial point processes. The behavior of the method is evaluated and compared with Kulldorff's spatial scan statistic by means of a simulation study. It is shown that the LI…

Statistics and ProbabilityAdultMaleDisease clustersEpidemiologyScan statisticIrregular shapePoint processDisease OutbreaksSet (abstract data type)StatisticsCluster AnalysisHumansComputer SimulationSensitivity (control systems)MathematicsAgedAged 80 and overbusiness.industryPattern recognitionMiddle AgedSpainData Interpretation StatisticalSpatial clusteringFemaleKidney DiseasesArtificial intelligencebusinessEpidemiologic MethodsType I and type II errorsStatistics in medicine
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Estimating person parameters via item response model and simple sum score in small samples with few polytomous items: A simulation study

2018

Background The Item Response Theory (IRT) is becoming increasingly popular for item analysis. Theoretical considerations and simulation studies suggest that parameter estimates will become precise only by utilizing many items in large samples. Method A simulation study focusing on a single scale was performed on data with (a) n = 40, 60, 80, 120, 200, 300, 500, and 900 cases utilizing (b) 4, 8, 16, or 32 items. The items were (c) symmetrically distributed vs. skew (skewness 0, 1, and 2). Item loadings were (d) homogeneous vs. heterogeneous. Item loadings were (e) low vs. high. Half of the items had (f) a correlated error or not. The number of answering categories (g) was four vs. five. A to…

Statistics and ProbabilityAnalysis of VarianceScale (ratio)EpidemiologyItem analysisSkewPolytomous Rasch modelMissing data01 natural sciences010104 statistics & probability03 medical and health sciences0302 clinical medicineSimple (abstract algebra)SkewnessSample SizeStatisticsItem response theoryHumansRegression AnalysisComputer Simulation030212 general & internal medicine0101 mathematicsCorrelation of DataMathematicsStatistics in Medicine
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Assessing the quality of studies in meta-research: Review/guidelines on the most important quality assessment tools

2020

Systematic reviews and meta-analyses pool data from individual studies to generate a higher level of evidence to be evaluated by guidelines. These reviews ultimately guide clinicians and stakeholders in health-related decisions. However, the informativeness and quality of evidence synthesis inherently depend on the quality of what has been pooled into meta-research projects. Moreover, beyond the quality of included individual studies, only a methodologically correct process, in relation to systematic reviews and meta-analyses themselves, can produce a reliable and valid evidence synthesis. Hence, quality of meta-research projects also affects evidence synthesis reliability. In this overview…

Statistics and ProbabilityCONSORTmedia_common.quotation_subjectPRISMAmeta-researchStrengthening the reporting of observational studies in epidemiology01 natural sciencesAMSTAR-PLUS; AMSTAR2; CONSORT; Cochrane; NOS; PRISMA; STROBE; meta-analysis; meta-research; quality010104 statistics & probability03 medical and health sciences0302 clinical medicineAMSTAR-PLUSBiasSTROBEMedicineHumansPharmacology (medical)Quality (business)AMSTAR2 AMSTAR-PLUS Cochrane CONSORT meta-analysis meta-research NOSPRISMA quality STROBE030212 general & internal medicine0101 mathematicsmedia_commonPharmacologyReview/guidelines on the most important quality assessment tools- PHARMACEUTICAL STATISTICS 2020 [Luchini C. Veronese N. Nottegar A. Shin J. I. Gentile G. Granziol U. SOYSAL P. Alexinschi O. Smith L. Solmi M. -Assessing the quality of studies in meta-research]business.industryConsolidated Standards of Reporting TrialsReproducibility of ResultsEvidence-based medicineNOSJadad scaleAMSTAR2meta-analysisSystematic reviewCochraneRisk analysis (engineering)AMSTAR-PLUS; AMSTAR2; Cochrane; CONSORT; meta-analysis; meta-research; NOS; PRISMA; quality; STROBEqualityResearch DesignMeta-analysisObservational studybusiness
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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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Testing abnormality in the spatial arrangement of cells in the corneal endothelium using spatial point processes

2001

The study of central corneal endothelium morphology is important in Ophthalmology. Some of the pathologies that could compromise endothelial cell morphology are trauma, cataract, surgery, use of contact lenses, corneal dystrophies or degenerations. The quantitative analysis of cell shape and cellular pattern is more sensitive in detecting subtle changes in endothelial morphology than cell density measurement or cell area analysis. In this paper, the morphology of the central cornea, the most important area from the point of view of vision, is studied through an associated bivariate spatial point pattern: the centroids of the cells and the triple points, that is, the points where three diffe…

Statistics and ProbabilityCorneal endotheliumEpidemiologybusiness.industryCentroidPattern recognitionBivariate analysisNearest neighbour distributionBiologyPoint processmedicine.anatomical_structureCorneamedicineArtificial intelligenceAbnormalitybusinessCell shapeStatistics in Medicine
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Visualizing the flow of evidence in network meta-analysis and characterizing mixed treatment comparisons

2013

Network meta-analysis techniques allow for pooling evidence from different studies with only partially overlapping designs for getting a broader basis for decision support. The results are network-based effect estimates that take indirect evidence into account for all pairs of treatments. The results critically depend on homogeneity and consistency assumptions, which are sometimes difficult to investigate. To support such evaluation, we propose a display of the flow of evidence and introduce new measures that characterize the structure of a mixed treatment comparison. Specifically, a linear fixed effects model for network meta-analysis is considered, where the network estimates for two trea…

Statistics and ProbabilityDecision support systemEpidemiologyComputer scienceHomogeneity (statistics)PoolingLinear modelFixed effects modelDirected acyclic graphcomputer.software_genrePath lengthData miningLinear combinationcomputerStatistics in Medicine
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