Search results for " Logistic Regression"

showing 10 items of 84 documents

Relation of fruit color, elongation, hardness, and volume to the infestation of olive cultivars by the olive fruit fly, Bactrocera oleae

2012

The susceptibility of olive cultivars to the olive fruit fly, Bactrocera oleae (Rossi) (Diptera: Tephritidae), has seldom been studied. This article examines factors associated with olive fruit fly infestation of 16 commonly planted Sicilian olive cultivars. Total infestation data were simultaneously correlated with categorical and quantitative factors using ordinal logistic regression. When all factors were included in the analysis, year, sampling date, cultivar, and fruit color were highly significant, but the quantitative factors fruit volume, fruit elongation, and fruit hardness were not. When the analysis was repeated excluding cultivar, all quantitative factors were significant, and e…

biologyfungiOlive fruit flyfood and beveragesmedicine.disease_causebiology.organism_classificationSettore AGR/11 - Entomologia Generale E ApplicataAgronomyInsect ScienceTephritidaeOleaceaeInfestationmedicineBactroceraCultivarElongationOrchardKey words: fruit volume fruit elongation fruit hardness ordinal logistic regression Diptera Tephritidae susceptibility Olea europaea Oleaceae ovipositionEcology Evolution Behavior and Systematics
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The Role of the Integrated Public Transport Network for Reducing the Congestion in the City of Palermo

2019

The railway link of Palermo is part of the Palermo – Trapani railway line and it is located in the urban site of Palermo. Works funded by the European Union have been started in 2008 for developing a metropolitan service through the improvement of the infrastructure and of the transport service characteristics. The aim of the paper is the analysis of the capacity of the railway infrastructure in terms of frequency and integration with the public transport service of Palermo. Using the Origin-Destination matrix of the Urban Transport Plan of Palermo, the competition between the private car mode and the public transport mode has been simulated, taking into account the improving of the railway…

business.industrymedia_common.quotation_subjectMode (statistics)Integrated public transport network logit model transport demand modal splitMetropolitan areaTransport engineeringCompetition (economics)Settore ICAR/05 - TrasportiOrder (exchange)Public transportService (economics)media_common.cataloged_instanceBusinessEuropean unionMultinomial logistic regressionmedia_common
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Effects of Digital Elevation Model resolution on evaluation of landslide susceptibility with a logistic regression model.

2013

The use of statistical methods together with the GIS technologies is currently one of the most efficient tools in the assessment of landslide susceptibility. The correlation between the physical phenomenon and its triggering factors depends on several factors, including the resolution at which the elevation data are represented in a Digital Elevation Model (DEM). The resolution becomes increasingly important as the use of DEM data is extended for spatial prediction of terrain attributes such as slope, aspect, plan and profile curvature, etc., which are considered as triggering factors of the landslides. Many methods exist in scientific literature to capture and model the correlation between…

digital elevation models landslide susceptibility logistic regression models
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Testing international dental maturation scoring system and population-specific Demirjian versions on Saudi sub-population

2013

Objectives: The purpose of this study was to test the applicability of the Demirjian method and revised versions for estimating chronological age (CA) from dental age (DA) in a sample of children. Study Design: A sample of 252 individuals of known age (4 to 14 yrs), sex (males: 125, females: 127), and ethnicity (Saudi) was collected. Each individual was aged using the original Demirjian method and revised versions, including Saudi, Kuwaiti, Belgian, and revised international curves. The differences between dental age and chronological age were analyzed using paired sample t-tests with Bonferroni corrections and multinomial regression tests at the 0.05 level of significance. Results: The res…

education.field_of_studyOral Medicine and PathologyScoring systembusiness.industryResearchPopulationeducationSample (statistics)OdontologíaDental age:CIENCIAS MÉDICAS [UNESCO]Ciencias de la saludsymbols.namesakeBonferroni correctionStatistical significancePopulation specificUNESCO::CIENCIAS MÉDICASsymbolsMedicinebusinesseducationGeneral DentistryDemographyMultinomial logistic regression
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A New Multinomial Accuracy Measure for Polling Bias

2014

In this article, we propose a polling accuracy measure for multi-party elections based on a generalization of Martin, Traugott, and Kennedy's two-party predictive accuracy index. Treating polls as random samples of a voting population, we first estimate an intercept only multinomial logit model to provide proportionate odds measures of each party's share of the vote, and thereby both unweighted and weighted averages of these values as a summary index for poll accuracy. We then propose measures for significance testing, and run a series of simulations to assess possible bias from the resulting folded normal distribution across different sample sizes, finding that bias is small even for polls…

education.field_of_studyVariablesSociology and Political ScienceComputer sciencemedia_common.quotation_subject05 social sciencesPopulation050401 social sciences methods0506 political scienceOdds0504 sociologySample size determinationVotingPolitical Science and International RelationsStatistics050602 political science & public administrationEconometricsMultinomial distributionPollingeducationmedia_commonMultinomial logistic regressionPolitical Analysis
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2021

The study aims were to 1) examine profiles of perception of motor competence (PMC) in relation to actual motor competence (AMC), i.e. under-estimators (UEs), realistic estimators (REs) and over-estimators (OEs) and 2) investigate associations between the profiles and selected socioecological factors at the individual, family and environmental levels. PMC (Pictorial Scale of Perceived Movement Skill Competence) and AMC (Test of Gross Motor Development-Third Edition) were administered to a representative sample of children from 37 childcare centres in Finland (n=441;6.2±0.6yrs;52% boys). Socioecological factors were investigated using a parental questionnaire. The three profiles were formed b…

education.field_of_studymedia_common.quotation_subjectPopulationGross motor skillPhysical activityPhysical Therapy Sports Therapy and RehabilitationResearch needsChild healthDevelopmental psychologyPerceptionOrthopedics and Sports MedicineeducationPsychologyCompetence (human resources)media_commonMultinomial logistic regressionJournal of Sports Sciences
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Glycolysis Metabolites and Risk of Atrial Fibrillation and Heart Failure in the PREDIMED Trial

2021

The increased prevalence of atrial fibrillation (AF) and heart failure (HF) highlights the need to better understand the mechanisms underlying these cardiovascular diseases (CVDs). In the present study, we aimed to evaluate the association between glycolysis-related metabolites and the risk of AF and HF in a Mediterranean population at high risk of CVD. We used two case-control studies nested within the PREDIMED trial. A total of 512 incident AF cases matched to 734 controls, and 334 incident HF cases matched to 508 controls, were included. Plasma metabolites were quantified by using hydrophilic interaction liquid chromatography coupled with high-resolution negative ion mode MS detection. C…

medicine.medical_specialtyEndocrinology Diabetes and MetabolismPopulationheart failureHeart failure030204 cardiovascular system & hematologyBiochemistryMicrobiologyPathogenesis03 medical and health sciences0302 clinical medicineInternal medicinemedicineGlycolysisatrial fibrillation030212 general & internal medicineeducationMolecular Biologyeducation.field_of_studybusiness.industryBrief ReportAtrial fibrillationPREDIMED studyglycolysismedicine.diseasePredimedAtrial fibrillationQR1-502Increased riskHeart failureCardiologyConditional logistic regressionbusinessGlycolysis
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Longitudinal Asthma Patterns in Italian Adult General Population Samples: Host and Environmental Risk Factors.

2020

Background: Asthma patterns are not well established in epidemiological studies. Aim: To assess asthma patterns and risk factors in an adult general population sample. Methods: In total, 452 individuals reporting asthma symptoms/diagnosis in previous surveys participated in the AGAVE survey (2011–2014). Latent transition analysis (LTA) was performed to detect baseline and 12-month follow-up asthma phenotypes and longitudinal patterns. Risk factors associated with longitudinal patterns were assessed through multinomial logistic regression. Results: LTA detected four longitudinal patterns: persistent asthma diagnosis with symptoms, 27.2%

medicine.medical_specialtyPopulationlcsh:MedicinecomorbiditiesArticle03 medical and health sciences0302 clinical medicineEnvironmental riskInternal medicineEpidemiologymedicine030212 general & internal medicineeducationAsthmaMultinomial logistic regressionvehicular trafficeducation.field_of_studybusiness.industrylcsh:RAsthma symptomslatent transition analysisGeneral Medicinecohortasthmamedicine.diseaserespiratory tract diseases030228 respiratory systemsmokeasthma; epidemiology; cohort; latent transition analysis; comorbidities; smoke; vehicular trafficCohortLatent transition analysisepidemiologybusinessJournal of clinical medicine
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Factors Influencing Teachers’ Use of ICT in Class: Evidence from a Multilevel Logistic Model

2022

Information and Communication Technologies (ICTs) have become a key factor in the educational context, especially in the aftermath of the COVID-19 pandemic, and, correctly implemented, can help to improve academic performance. The aim of this research was to analyse the factors that influence teachers’ decisions to use ICT more- or less frequently to carry out tasks and exercises in their classes. To this end, we estimated a multilevel logistic model with census data from the individualized evaluation of students of the Community of Madrid (Spain) carried out at the end of the 2018–2019 academic year in primary and secondary education. Additionally, we applied multiple imputation techniques…

multiple imputationTecnologia de la informacióICTlogistic regressionGeneral MathematicsICT; logistic regression; multilevel or hierarchical model; multiple imputation; teachingComputer Science (miscellaneous)ComputingMilieux_COMPUTERSANDEDUCATIONUNESCO::CIENCIAS ECONÓMICASmultilevel or hierarchical modelEngineering (miscellaneous)teachingMathematics; Volume 10; Issue 5; Pages: 799
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Landslide susceptibility zonation by exploiting GIS tools and two statistical methods: binary logistic regression and multivariate adaptive regressio…

2013

In the recent years advanced statistical methods and GIS tools have been frequently used to assess landslide susceptibility. The latter is estimated by establishing statistical relationships between landscape characteristics and spatial distribution of past slope-failures. These are mapped mainly by recognizing changes on slope morphology produced by gravity. Despite of this, most of the researches on landslide susceptibility do not consider that slope-failures modify topography and associate high probability of landsliding with topographic characteristics that differ from those that led slope-failures. In this research we analyzed landslide susceptibility in the basin of the Malvello river…

multivariate adaptive regression splineLandslide suceptibilitySettore GEO/04 - Geografia Fisica E GeomorfologiaBinary logistic regressionGISSicilySettore GEO/05 - Geologia Applicata
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