Search results for "multiple comparisons"

showing 3 items of 23 documents

A Comparative Study of Nonlinear Machine Learning for the "In Silico" Depiction of Tyrosinase Inhibitory Activity from Molecular Structure.

2011

In the preset report, for the first time, support vector machine (SVM), artificial neural network (ANN), Baye- sian networks (BNs), k-nearest neighbor (k-NN) are applied and compared on two "in-house" datasets to describe the tyrosinase inhibitory activity from the molecular structure. The data set Data I is used for the identification of tyrosi- nase inhibitors (TIs) including 701 active and 728 inactive compounds. Data II consists of active chemicals for potency estimation of TIs. The 2D TOMOCOMD-CARDD atom-based quadratic indices are used as molecular descriptors. The de- rived models show rather encouraging results with the areas under the Receiver Operating Characteristic (AURC) curve …

Virtual screeningArtificial neural networkComputer sciencebusiness.industryOrganic ChemistryMachine learningcomputer.software_genreComputer Science ApplicationsSupport vector machineData setStructural BiologyMolecular descriptorTest setDrug DiscoveryMultiple comparisons problemMolecular MedicineArtificial intelligencebusinesscomputerChemical databaseMolecular informatics
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Evaluating the statistical methodology of randomized trials on dentin hypersensitivity management

2017

The present study aimed to evaluate the characteristics and quality of statistical methodology used in clinical studies on dentin hypersensitivity management. An electronic search was performed for data published from 2009 to 2014 by using PubMed, Ovid/MEDLINE, and Cochrane Library databases. The primary search terms were used in combination. Eligibility criteria included randomized clinical trials that evaluated the efficacy of desensitizing agents in terms of reducing dentin hypersensitivity. A total of 40 studies were considered eligible for assessment of quality statistical methodology. The four main concerns identified were i) use of nonparametric tests in the presence of large samples…

medicine.medical_specialtymedia_common.quotation_subjectMEDLINEDentistryCochrane Librarylaw.invention03 medical and health sciences0302 clinical medicineRandomized controlled triallawstatistical methodologyrandomized trialHumansMedicineMedical physicsGeneral DentistryNormalityRandomized Controlled Trials as Topicmedia_commonbusiness.industryNonparametric statisticsdentin hypersensitivity030206 dentistryDentin Sensitivitymedicine.diseasestatistical data analysiSearch termsData Interpretation StatisticalMultiple comparisons problemDentin hypersensitivitybusinessmanagement030217 neurology & neurosurgeryJournal of Oral Science
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Conditional predictive inference for online surveillance of spatial disease incidence

2011

This paper deals with the development of statistical methodology for timely detection of incident disease clusters in space and time. The increasing availability of data on both the time and the location of events enables the construction of multivariate surveillance techniques, which may enhance the ability to detect localized clusters of disease relative to the surveillance of the overall count of disease cases across the entire study region. We introduce the surveillance conditional predictive ordinate as a general Bayesian model-based surveillance technique that allows us to detect small areas of increased disease incidence when spatial data are available. To address the problem of mult…

multiple comparisonsGeorgiaIncidenceSouth Carolinalagged loss functionBayes TheoremBayesian hierarchical modelspublic health surveillanceArticleconditional predictive ordinatePopulation Surveillancespatial dataSalmonella InfectionsCluster AnalysisHumansComputer SimulationPoisson Distribution
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