Search results for "Linear regression"

showing 10 items of 375 documents

Are attachment dimensions associated with infertility-related stress in couples undergoing their first IVF treatment? A study on the individual and c…

2012

study question: Are attachment anxiety and avoidance dimensions in female and male partners in couples seeking infertility treat- ment associated with her and his infertility-related stress? summary answer: Attachment dimensions are significantly associated with several aspects of infertility stress in couples undergoing IVF treatment. what is known and what this paper adds: Attachment dimensions of anxiety and avoidance (where highly anxious individuals fear rejection and are preoccupied with maintaining proximity to their partner and highly avoidant individuals are uncomfortable with intimacy and prefer to maintain distance from their partner) may influence the well being of individuals u…

InfertilityAdultMalemedia_common.quotation_subjectOocyte RetrievalFertilityFertilization in VitroAnxietyCost of IllnessOvulation InductionBayesian multivariate linear regressionAnxiety SeparationSettore M-PSI/08 - Psicologia ClinicaAttachment theoryMedicineHumansRejection (Psychology)Longitudinal StudiesProspective StudiesSperm Injections IntracytoplasmicInfertility Malemedia_commonbusiness.industryRehabilitationConfoundingObstetrics and Gynecologymedicine.diseaseObject AttachmentCross-Sectional StudiesSexual PartnersReproductive MedicineItalyWell-beingfertility-related stress attachment partner concerns IVF/ICSI cross-partner effect.AnxietyFemalemedicine.symptombusinessInfertility FemaleStress PsychologicalClinical psychology
researchProduct

Linear Regression Analysis

2010

SUMMARY Background: Regression analysis is an important statistical method for the analysis of medical data. It enables the identification and characterization of relationships among multiple factors. It also enables the identification of prognostically relevant risk factors and the calculation of risk scores for individual prognostication. Methods: This article is based on selected textbooks of statistics, a selective review of the literature, and our own experience. Results: After a brief introduction of the uni- and multivariable regression models, illustrative examples are given to explain what the important considerations are before a regression analysis is performed, and how the resul…

Interpretation (logic)business.industryMultivariable calculusLinear modelRegression analysisGeneral MedicineMachine learningcomputer.software_genreVariety (cybernetics)Identification (information)Linear regressionMedicineArtificial intelligencebusinessRegression diagnosticcomputerDeutsches Ärzteblatt international
researchProduct

Organizational Cooperation and Knowledge Management in Research and Development Organizations

2017

Organizational Cooperation (OC) is a current concept that responds to the growing interdependence among individuals and teams. Likewise, Knowledge Management (KM) accompanies specialization in all sectors of human activity. Most KM processes are cooperation-intensive, and the way both constructs relate to each other is relevant in understanding organizations and promoting performance. The present paper focuses on that relationship. The Organizational Cooperation Questionnaire (ORCOQ) and the Short form of the Knowledge Management Questionnaire (KMQ-SF) were applied to 639 members of research and development (R&D) organizations (Universities and Research Institutes). Descriptive, correla…

Knowledge MangementMultivariate statisticsOrganizational CooperationKnowledge managementbusiness.industryField (Bourdieu)Large effect sizeorganizational cooperationlcsh:BF1-990Knowledge Management Questionnaireknowledge managementlcsh:PsychologyOrganizational learningSpecialization (logic)Multiple linear regression analysisOrganizational Cooperation QuestionnairebusinessPsychologyGeneral Psychology
researchProduct

A new OLS-based procedure for clusterwise linear regression

2009

Data heterogeneity, within a (linear) regression framework, often suggests the use of a Clusterwise Linear Regression (CLR) procedure, which implies, among other things, the estimate of the appropriate number of clusters as well as the cluster membership of each unit. The approaches to the estimation of a CLR model are essentially based on the Ordinary Least Square (OLS) criterion or the likelihood criterion. In this paper, in a context of OLS approach, we propose an estimation of the model making use of an algorithm based on a threshold criterion for the determination coefficient of each cluster, to identify the appropriate number of clusters, and of a modified Spath's algorithm, to estima…

Linear regression Cluster analysis Monte Carlo simulation.Settore SECS-S/01 - Statistica
researchProduct

A simplified method for estimating the total water vapor content over sea surfaces using NOAA-AVHRR channels 4 and 5

2002

A simplified method for estimating the total amount of atmospheric water vapor, W, over sea surfaces using NOAA-AVHRR Channels 4 and 5 is presented. This study has been carried out using simulated AVHRR data at 11 and 12 /spl mu/m (with MODTRAN 3.5 code and the TIGR database) and AVHRR, PODAAC, and AVISO databases provided by the Louis Pasteur University (Strasbourg-France), NASA-NOAA, and Meteo France, respectively. The method is named linear atmosphere-surface temperature relationship (LASTR). It is based on a linear relationship between the effective atmospheric temperature in AVHRR Channel 4 and sea surface temperature. The LASTR method was compared with the linear split-window relation…

MODTRANInstrumentationBrightness temperatureLinear regressionGeneral Earth and Planetary SciencesEnvironmental scienceRadiometryElectrical and Electronic EngineeringAtmospheric temperatureStandard deviationWater vaporRemote sensingIEEE Transactions on Geoscience and Remote Sensing
researchProduct

Rapid Evaluation of Oxidized Fatty Acid Concentration in Virgin Olive Oils Using Metal Oxide Semiconductor Sensors and Multiple Linear Regression

2009

This works aims to set up a rapid and nondestructive method to evaluate the advanced oxidation of virgin olive oils (VOOs). An electronic nose based on an array of six metal oxide semiconductor sensors was used, jointly with multiple linear regression (MLR), to predict the oxidized fatty acid (OFA) concentration in VOO samples characterized by different oxidative status. An MLR model constructed using five predictors was able to predict OFA concentration with an average validation error of 9%.

MULTIPLE LINEAR REGRESSIONBiosensing TechniquesVIRGIN OLIVE OILMetalOxide semiconductorVIRGIN OLIVE OILSMETAL OXIDE SEMICONDUCTOR SENSORSLinear regressionPlant OilsOrganic chemistryValidation errorOlive Oilchemistry.chemical_classificationChromatographyElectronic noseOXIDATIVE STATUSFatty AcidsELECTRONIC NOSEFatty acidOxidesGeneral ChemistryOXIDIZED FATTY ACIDSVegetable oilSemiconductorschemistryvisual_artLinear Modelsvisual_art.visual_art_mediumGeneral Agricultural and Biological SciencesOxidation-ReductionOlive oil
researchProduct

A linear regression-based machine learning pipeline for the discovery of clinically relevant correlates of gait speed reserve from multiple physiolog…

2021

Frailty in older adults is characterized by reduced physiological reserve. Gait speed reserve (GSR: maximum minus usual gait speed) could help identify frailty and act as a proxy for physiological reserve. Utilizing data from 2397 participants aged 50+ from wave 3 of The Irish Longitudinal Study on Ageing, we developed a stepwise linear regression-based machine learning pipeline to select the most important GSR predictors from 34 manually selected features across multiple domains. Variables were selected one at a time such that they maximized the mean adjusted r-squared score from a 5-fold cross-validation. A peak score of (0.16 +/- 0.03) was achieved with 14 variables (giving adjusted-r-sq…

Machine LearningAgingNetwork PhysiologyFrailtyLinear RegressionGait Speed Reserve
researchProduct

Associations of physical activity intensities, impact intensities and osteogenic index with proximal femur bone traits among sedentary older adults

2021

Background Dynamic high-intensity physical activity is thought to be beneficial for older adults’ bone health. Traditional volume-based processing of accelerometer-measured physical activity data, quantified on a minute-per-minute basis, may average out sporadic high impact activity, whereas accelerometer data processing approaches based on identifying impacts can capture also these potentially beneficial short activity bursts. We investigated the associations between habitual physical activity and proximal femur bone traits among sedentary older adults utilizing three different numerical treatments of accelerometer-data to examine, if impact-based processing approaches are more suitable to…

Male0301 basic medicineHistologyPhysiologyEndocrinology Diabetes and MetabolismPopulationPhysical activityphysical activityluuntiheysPhysiology030209 endocrinology & metabolismBone remodelingistuminen03 medical and health sciencessedentaryAbsorptiometry Photon0302 clinical medicineBone DensityLinear regressionmineraalitHumansMedicineFemureducationkiihtyvyysExerciseolder adultsAgedFemoral neckBone mineralluustoeducation.field_of_studyFemur Neckbusiness.industrySection modulusIntensity (physics)accelerometerCross-Sectional Studies030104 developmental biologymedicine.anatomical_structureFemalebone mineral densitybusinessbone mineral contentfyysinen aktiivisuusikääntyneetBone
researchProduct

Association of Common Polymorphisms in the Nicotinic Acetylcholine Receptor Alpha4 Subunit Gene with an Electrophysiological Endophenotype in a Large…

2016

PLoS one 11(4), e0152984 (2016). doi:10.1371/journal.pone.0152984

Male0301 basic medicineNicotinic Acetylcholine ReceptorsPhysiologyEvent-Related Potentialslcsh:MedicineReceptors NicotinicElectroencephalography600 Technik Medizin angewandte Wissenschaften::610 Medizin und GesundheitBiochemistryExonCognitionMathematical and Statistical Techniques0302 clinical medicineMedizinische FakultätGermanyMedicine and Health Scienceslcsh:ScienceCerebral CortexClinical NeurophysiologyGeneticsBrain MappingN100education.field_of_studyMultidisciplinarymedicine.diagnostic_testSmokingBrainElectroencephalographyTobacco Use DisorderTemporal LobeFrontal LobeElectrophysiologyNicotinic acetylcholine receptorBioassays and Physiological AnalysisBrain ElectrophysiologyPhysical SciencesRegression AnalysisFemaleAnatomyFunction and Dysfunction of the Nervous SystemStatistics (Mathematics)Research ArticleSignal TransductionAdultTransmembrane ReceptorsImaging TechniquesEndophenotypesCognitive NeurosciencePopulation610NeurophysiologyNeuroimagingSingle-nucleotide polymorphism-Linear Regression AnalysisBiologyResearch and Analysis MethodsPolymorphism Single Nucleotide03 medical and health sciencesDiagnostic MedicineEvent-related potentialReaction TimemedicineHumansddc:610Statistical MethodseducationElectrophysiological Techniqueslcsh:RBiology and Life SciencesProteinsCell BiologyElectrophysiological Phenomena030104 developmental biologyAcetylcholine ReceptorsEndophenotypeCognitive Sciencelcsh:QMathematics030217 neurology & neurosurgeryNeuroscience
researchProduct

Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study

2019

SCOPE: The relationship between red wine (RW) consumption and metabolism is poorly understood. We aimed to assess the systemic metabolomic profiles in relation to frequent RW consumption as well as the ability of a set of metabolites to discriminate RW consumers. METHODS AND RESULTS: Cross-sectional analysis of 1,157 participants. Subjects were divided as non-RW consumers versus RW consumers (> 1 glass/day RW (100 mL/day)). Plasma metabolomics analysis was performed using LC-MS. Associations between 386 identified metabolites and RW consumption were assessed using elastic net regression analysis taking into consideration baseline significant covariates. Ten-cross-validation (CV) was perform…

Male0301 basic medicinePopulationWineBiologySensitivity and SpecificityArticleEating03 medical and health sciencesMetabolomicsLinear regressionHumansMetabolomicsFood scienceeducationAgedWineeducation.field_of_study030109 nutrition & dieteticsReceiver operating characteristicSmokingArea under the curveRegression analysisMiddle AgedPredimedDietBloodCross-Sectional Studies030104 developmental biologyArea Under CurveFemaleFood ScienceBiotechnologyMolecular Nutrition & Food Research
researchProduct