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Mastering Productivity Analysis with SPSS – ictsd org

Mastering Productivity Analysis with SPSS – ictsd org
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Stanford universityStatistical package for the social sciencesYour command centerFoundation of productivity analysisStatistical packageSocial sciencesProductivity analysisCommand centerOutput viewerSyntax editorEnsuring optimalData sourcesType consistencyMissing dataCommon import issuesVariable creation

Study on the Changes in Circadian Rhythm Before and After Treatment an

Study on the Changes in Circadian Rhythm Before and After Treatment and the Influencing Factors in Patients with Depression

South koreaMax hamiltonData differences between chronotypes change groupInternational classification of diseasesMini international neuropsychiatric interviewResearch methodsZhejiang provinceInternational classificationTenth revisionStatistical manualMental disordersFifth editionHamilton depression rating scaleThird peopleChuzhou citySnaith hamilton pleasure scale

UDEMY SVM for Beginners Support Vector Machines in R Studio

UDEMY SVM for Beginners Support Vector Machines in R Studio
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Beginners support vector machinesMachine learningMachine learning modelMargin classifierMaximum margin classifierSupport vector classifiersBased support vector machinesTrain splitLinear kernelHyperparameter tuningRegression modelBusiness knowledgeData dictionaryVariable transformationUsable variables

Outcomes of Peripartum Hysterectomy

Study of the prevalence, indications, and outcomes of peripartum hysterectomy using nationwide large-scale healthcare data from the national registry

United statesAlmaty qalasyRepublic of kazakhstanWorld health organizationElectronic health systemWorld bankInternational statistical classification of diseasesCentral asianNorthern europeanSoviet central asianUnified nationwide electronic health systemInternational statistical classificationRegression modelHysterectomy typeSoviet union

Phenotypes of Mild-to-Moderate Obstructive Pulmonary Disease

Purpose: Asthma and chronic obstructive pulmonary disease (COPD) are complex and heterogeneous inflammatory diseases. We sought to investigate distinct disease profiles based on clinical, cellular and molecular data from patients with mild-to-moderate obstructive pulmonary diseases. Patients and Methods: Patients with mild-to-moderate allergic asthma (n=30) and COPD (n=30) were prospectively recruited. Clinical characteristics and induced sputum were collected. In total, 35 mediators were assessed in induced sputum. Logistic regression analysis was conducted to identify the optimal factors that were able to discriminate between asthma and COPD. Further, the data were explored using hierarchical clustering in order to discover and compare clusters of combined samples of asthma and COPD patients. Clinical parameters, cellular composition, and sputum mediators of asthma and COPD were assessed between and within obtained clusters.

United statesWaals gewestEteläuomen läiBiomedica medizinprodukte gmbGlobal initiative for chronic obstructive lung diseaseAmerican thoracic society european respiratoryUniversity of warsawStatsoft incR foundation for statistical computingGlobal initiative for asthmaMedical universityGlobal initiativeChronic obstructive lungPort washingtonEthics committeeAmerican thoracic