Search results for "Interclass correlation"

showing 3 items of 3 documents

Reliability of measuring the fat content of the lumbar vertebral marrow and paraspinal muscles using MRI mDIXON-quant sequence

2018

PURPOSE We aimed to assess the reliability of measuring the fat content of the lumbar vertebral marrow and the paraspinal muscles using magnetic resonance imaging (MRI) mDIXON-Quant sequence. METHODS Thirty-one healthy volunteers were included. All participants underwent liver mDIXON-Quant imaging on a 3.0 T Philips MRI scanner by observer A. Within two weeks, observer B repeated the scan. After the examination, each observer independently measured the fat content of the third lumbar vertebra (L3), and the psoas (PS), erector spinae (ES), and multifidus (MF) muscles on central L3 axial images. After two weeks, each observer repeated the same measurements. They were blinded to their previous…

AdultMaleObserver (quantum physics)Intraclass correlationInterclass correlationParaspinal MusclesBone Marrow CellsRisk Assessment030218 nuclear medicine & medical imaging03 medical and health sciences0302 clinical medicineLumbarBone MarrowmedicineHumansRadiology Nuclear Medicine and imagingReliability (statistics)Observer VariationReproducibilityLumbar Vertebraemedicine.diagnostic_testbusiness.industryReproducibility of ResultsMagnetic resonance imagingRepeatabilityMiddle AgedmDIXON-Quant sequenceMuscoloskeletal ImagingMagnetic Resonance ImagingAdipose TissueFemaleCardiology and Cardiovascular MedicineNuclear medicinebusiness030217 neurology & neurosurgery
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Inference for the interclass correlation in familial data using small sample asymptotics

2012

Inference on the parent-offspring correlation coefficient is an important problem in the analysis of familial data, and point estimates and likelihood based inference are available in the literature. In this work, corrections for the signed log-likelihood ratio test statistics are proposed, based on small sample asymptotics, in order to achieve accurate small sample performance. The corrected statistic can be used for hypothesis testing as well as for interval estimation.

Correlation coefficientInterclass correlationInterval estimationStatisticsFiducial inferenceInferencePoint estimationStatisticMathematicsStatistical hypothesis testingAIP Conference Proceedings
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The reliability of continuous brain responses during naturalistic listening to music

2015

Low-level (timbral) and high-level (tonal and rhythmical) musical features during continuous listening to music, studied by functional magnetic resonance imaging (fMRI), have been shown to elicit large-scale responses in cognitive, motor, and limbic brain networks. Using a similar methodological approach and a similar group of participants, we aimed to study the replicability of previous findings. Participants' fMRI responses during continuous listening of a tango Nuevo piece were correlated voxelwise against the time series of a set of perceptually validated musical features computationally extracted from the music. The replicability of previous results and the present study was assessed b…

MalePoison controlBrain mappingNOISE0302 clinical medicineInterclass correlationMusical featuresBrain Mappingmedicine.diagnostic_testResearch Support Non-U.S. Gov't05 social sciencesBrainCognitionReliabilityMagnetic Resonance ImaginghumanitiesVARIABILITYNeurologyNEUROSCIENCEFMRIta6131Naturalistic paradigmAuditory PerceptionFemaleTEST-RETEST RELIABILITYPsychologypsychological phenomena and processesCognitive psychologyAdultCognitive NeuroscienceLATERALIZATIONbehavioral disciplines and activitiesta3112050105 experimental psychologyLateralization of brain function03 medical and health sciencesTIMBREYoung AdultWORKING-MEMORYmedicineJournal ArticleHumans0501 psychology and cognitive sciencesActive listeningSet (psychology)ATTENTIONReproducibility of ResultsDice coefficientFunctional magnetic resonance imaging (fMRI)Acoustic StimulationFunctional magnetic resonance imagingNeuroscienceTimbrehuman activities030217 neurology & neurosurgeryMusicAUDITORY-CORTEXNeuroImage
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