0000000000174566

AUTHOR

Bernard M. J. Uitdehaag

0000-0002-9226-7364

showing 2 related works from this author

Power estimation for non-standardized multisite studies

2016

A concern for researchers planning multisite studies is that scanner and T1-weighted sequence-related biases on regional volumes could overshadow true effects, especially for studies with a heterogeneous set of scanners and sequences. Current approaches attempt to harmonize data by standardizing hardware, pulse sequences, and protocols, or by calibrating across sites using phantom-based corrections to ensure the same raw image intensities. We propose to avoid harmonization and phantom-based correction entirely. We hypothesized that the bias of estimated regional volumes is scaled between sites due to the contrast and gradient distortion differences between scanners and sequences. Given this…

Computer scienceCognitive Neurosciencecomputer.software_genreSensitivity and Specificity050105 experimental psychologyImaging phantomArticleSet (abstract data type)03 medical and health sciences0302 clinical medicineDistortionImage Interpretation Computer-AssistedCalibrationmedicine[INFO.INFO-IM]Computer Science [cs]/Medical ImagingHumans0501 psychology and cognitive sciencesSegmentationComputer Simulation10. No inequalityScalingModels Statisticalmedicine.diagnostic_test05 social sciencesContrast (statistics)BrainReproducibility of ResultsMagnetic resonance imagingEquipment DesignScale factorImage EnhancementMagnetic Resonance ImagingUnited StatesEquipment Failure AnalysisEuropeNeurologyOrdinary least squaresData miningFunction and Dysfunction of the Nervous SystemArtifactscomputer030217 neurology & neurosurgeryAlgorithms
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APOE epsilon variation in multiple sclerosis susceptibility and disease severity: some answers

2006

Background: Previous studies have examined the role of APOE variation in multiple sclerosis (MS), but have lacked the statistical power to detect modest genetic influences on risk and disease severity. The meta- and pooled analyses presented here utilize the largest collection, to date, of MS cases, controls, and families genotyped for the APOE epsilon polymorphism. Methods: Studies of MS and APOE were identified by searches of PubMed, Biosis, Web of Science, Cochrane Review, and Embase. When possible, authors were contacted for individual genotype data. Meta-analyses of MS case-control data and family-based analyses were performed to assess the association of APOE epsilon genotype with dis…

Apolipoprotein EOncologyRiskmedicine.medical_specialtyPathologyMultiple SclerosisGenotypeApolipoprotein E2Apolipoprotein E4Polymorphism Single NucleotideSeverity of Illness IndexLinkage DisequilibriumPrimary progressiveCentral nervous system disease03 medical and health sciences0302 clinical medicineApolipoproteins EDisease severityPolymorphism (computer science)Internal medicineGenotypemedicineHumansGenetic Predisposition to Disease10. No inequalityAlleles030304 developmental biology0303 health sciencesExpanded Disability Status ScalePolymorphism GeneticScience & Technologybusiness.industryMultiple sclerosismedicine.disease3. Good healthPedigreePhenotypeCase-Control StudiesSettore MED/26 - NeurologiaNeurology (clinical)businessMultiple Sclerosis APOE disease severity meta-analysis030217 neurology & neurosurgery
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