Search results for "Confounding Factors"

showing 6 items of 26 documents

Protective effect of smoking: misleading use of statistics.

2004

PsychiatryLegbusiness.industryScienceArterial Occlusive DiseasesConfounding Factors EpidemiologicsmokingvascularizationRecurrenceEnvironmental healthHumansMedicineRadiology Nuclear Medicine and imagingProspective StudiesbusinessII errorAngioplasty BalloonFollow-Up Studies
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Randomized Controlled Trials and real life studies. Approaches and methodologies: a clinical point of view.

2014

Randomized Controlled Trials (RCTs) are the "gold standard" for evaluating treatment outcomes providing information on treatments "efficacy". They are designed to test a therapeutic hypothesis under optimal setting in the absence of confounding factors. For this reason they have high internal validity. The strict and controlled conditions in which they are conducted, leads to low generalizability because they are performed in conditions very different from real life usual care. Conversely, real life studies inform on the "effectiveness" of a treatment, that is, the measure of the extent to which an intervention does what is intended to do in routine circumstances. At variance to RCTs, real …

Pulmonary and Respiratory MedicineChronic Obstructivemedicine.medical_specialtyAsthma; COPD; Randomized controlled trials; Real life studies; Asthma; Confounding Factors (Epidemiology); Humans; Pulmonary Disease Chronic Obstructive; Randomized Controlled Trials as Topic; Research Design; Pulmonary and Respiratory Medicine; Biochemistry (medical); Pharmacology (medical)Alternative medicineSettore MED/10 - Malattie Dell'Apparato Respiratoriolaw.inventionPulmonary DiseasePulmonary Disease Chronic ObstructiveRandomized controlled triallawIntervention (counseling)medicineCOPDHumansPharmacology (medical)Generalizability theoryMedical physicsInternal validityReal life studiesRandomized Controlled Trials as Topicbusiness.industryBiochemistry (medical)Gold standardConfounding Factors EpidemiologicVariance (accounting)Confounding Factors (Epidemiology)AsthmaReal life studieRandomized controlled trials; Real life studies; Asthma; COPDRandomized controlled trialResearch DesignRandomized controlled trialsPhysical therapybusinessStrengths and weaknesses
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Occupational exposure to extremely low frequency electric and magnetic fields and Alzheimer disease: a meta-analysis

2008

Background Among potential environmental risk factors for Alzheimer disease (AD), occupational exposures have received some attention, including extremely low frequency electromagnetic fields (ELF-EMF). A systematic review and meta-analysis of published epidemiological studies on this subject was carried out. Methods The search was concluded in April 2006. Bibliographic databases consulted included PubMed, EMBASE, Cochrane Library and NIOSHTIC2. Pooled estimates were obtained using random-effects meta-analysis. Sources of heterogeneity between studies were explored, as was publication bias. Results Fourteen different studies (nine case-control and five cohort studies) accomplished inclusion…

Riskmedicine.medical_specialtyEpidemiologybusiness.industryConfoundingCase-control studyConfounding Factors EpidemiologicGeneral MedicinePublication biasCochrane LibraryCohort StudiesStudy heterogeneityElectromagnetic FieldsAlzheimer DiseaseCase-Control StudiesOccupational ExposureSample SizeInternal medicineMeta-analysisEpidemiologymedicineHumansbusinessPublication BiasCohort studyInternational Journal of Epidemiology
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Coupled variable selection for regression modeling of complex treatment patterns in a clinical cancer registry.

2013

For determining a manageable set of covariates potentially influential with respect to a time-to-event endpoint, Cox proportional hazards models can be combined with variable selection techniques, such as stepwise forward selection or backward elimination based on p-values, or regularized regression techniques such as component-wise boosting. Cox regression models have also been adapted for dealing with more complex event patterns, for example, for competing risks settings with separate, cause-specific hazard models for each event type, or for determining the prognostic effect pattern of a variable over different landmark times, with one conditional survival model for each landmark. Motivat…

Statistics and ProbabilityMaleNiacinamideBoosting (machine learning)Carcinoma HepatocellularEpidemiologyComputer scienceScoreFeature selectionAntineoplastic Agentscomputer.software_genreDecision Support TechniquesNeoplasmsCovariateHumansRegistriesAgedProportional Hazards ModelsProportional hazards modelPhenylurea CompoundsLiver NeoplasmsRegression analysisConfounding Factors EpidemiologicMiddle AgedSorafenibPrognosisRegressionCancer registryData Interpretation StatisticalRegression AnalysisData miningcomputerStatistics in medicine
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Building up adjusted indicators of students' evaluation of university courses using generalized item response models

2012

This article advances a proposal for building up adjusted composite indicators of the quality of university courses from students’ assessments. The flexible framework of Generalized Item Response Models is adopted here for controlling the sources of heterogeneity in the data structure that make evaluations across courses not directly comparable. Specifically, it allows us to: jointly model students’ ratings to the set of items which define the quality of university courses; explicitly consider the dimensionality of the items composing the evaluation form; evaluate and remove the effect of potential confounding factors which may affect students’ evaluation; model the intra-cluster variabilit…

Statistics and ProbabilityStructure (mathematical logic)Computer sciencemedia_common.quotation_subjectadjusted indicators explanatory item response models multidimensional latent traits multilevel models evaluation of university courses potential confounding factorsRegression analysisData structureAffect (psychology)Multilevel dataComputingMilieux_COMPUTERSANDEDUCATIONEconometricsMathematics educationQuality (business)Settore SECS-S/05 - Statistica SocialeStatistics Probability and UncertaintySet (psychology)Settore SECS-S/01 - Statisticamedia_commonCurse of dimensionality
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Inter‐individual variation of the urinary steroid profiles in Swedish and Norwegian athletes

2020

The steroidal module of the Athlete Biological Passport (ABP) aims to detect doping with endogenous steroids, e.g. testosterone (T), by longitudinally monitoring several biomarkers. These biomarkers are ratios combined of urinary concentrations of testosterone and metabolically related steroids. However, it is evident after five years of monitoring steroid passports, that there are large variations in the steroid ratios complicating its interpretation. In this study, we used over 11 000 urinary steroid profiles from Swedish and Norwegian athletes to determine both the inter‐ and intra‐individual variations of all steroids and ratios in the steroidal passport. Furthermore, we investigated if…

urinary steroidsbiomarkkeritdopingprofiilit (tieto)biologinen passitestausmenetelmätdoping in sportsathlete biological passportsteroid profilevaihteluconfounding factorssteroiditvirtsaurheilijat
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