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2019-01-08Zeitschriftenartikel DOI: 10.18452/20854
An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group
dc.contributor.authorBoedhoe, Premika S. W.
dc.contributor.authorHeymans, Martijn W.
dc.contributor.authorSchmaal, Lianne
dc.contributor.authorAbe, Yoshinari
dc.contributor.authorAlonso, Pino
dc.contributor.authorAmeis, Stephanie H.
dc.contributor.authorAnticevic, Alan
dc.contributor.authorArnold, Paul D.
dc.contributor.authorBatistuzzo, Marcelo C.
dc.contributor.authorBenedetti, Francesco
dc.contributor.authorBeucke, Jan C.
dc.contributor.authorBollettini, Irene
dc.contributor.authorBose, Anushree
dc.contributor.authorBrem, Silvia
dc.contributor.authorCalvo, Anna
dc.contributor.authorCalvo, Rosa
dc.contributor.authorCheng, Yuqi
dc.contributor.authorCho, Kang Ik K.
dc.contributor.authorCiullo, Valentina
dc.contributor.authorDallaspezia, Sara
dc.contributor.authorDenys, Damiaan
dc.contributor.authorFeusner, Jamie D.
dc.contributor.authorFitzgerald, Kate D.
dc.contributor.authorFouche, Jean-Paul
dc.contributor.authorFridgeirsson, Egill A.
dc.contributor.authorGruner, Patricia
dc.contributor.authorHanna, Gregory L.
dc.contributor.authorHibar, Derrek P.
dc.contributor.authorHoexter, Marcelo Q.
dc.contributor.authorHu, Hao
dc.contributor.authorHuyser, Chaim
dc.contributor.authorJahanshad, Neda
dc.contributor.authorJames, Anthony
dc.contributor.authorKathmann, Norbert
dc.contributor.authorKaufmann, Christian
dc.contributor.authorKoch, Kathrin
dc.contributor.authorKwon, Jun Soo
dc.contributor.authorLazaro, Luisa
dc.contributor.authorLochner, Christine
dc.contributor.authorMarsh, Rachel
dc.contributor.authorMartínez-Zalacaín, Ignacio
dc.contributor.authorMataix-Cols, David
dc.contributor.authorMenchón, José M.
dc.contributor.authorMinuzzi, Luciano
dc.contributor.authorMorer, Astrid
dc.contributor.authorNakamae, Takashi
dc.contributor.authorNakao, Tomohiro
dc.contributor.authorNarayanaswamy, Janardhanan C.
dc.contributor.authorNishida, Seiji
dc.contributor.authorNurmi, Erika L.
dc.contributor.authorO'Neill, Joseph
dc.contributor.authorPiacentini, John
dc.contributor.authorPiras, Fabrizio
dc.contributor.authorPiras, Federica
dc.contributor.authorReddy, Y. C. Janardhan
dc.contributor.authorReess, Tim J.
dc.contributor.authorSakai, Yuki
dc.contributor.authorSato, Joao R.
dc.contributor.authorSimpson, H. Blair
dc.contributor.authorSoreni, Noam
dc.contributor.authorSoriano-Mas, Carles
dc.contributor.authorSpalletta, Gianfranco
dc.contributor.authorStevens, Michael C.
dc.contributor.authorSzeszko, Philip R.
dc.contributor.authorTolin, David F.
dc.contributor.authorvan Wingen, Guido A.
dc.contributor.authorVenkatasubramanian, Ganesan
dc.contributor.authorWalitza, Susanne
dc.contributor.authorWang, Zhen
dc.contributor.authorYun, Je-Yeon
dc.contributor.authorThompson, Paul M.
dc.contributor.authorStein, Dan J.
dc.contributor.authorvan den Heuvel, Odile A.
dc.contributor.authorTwisk, Jos W. R.
dc.date.accessioned2019-11-28T11:31:11Z
dc.date.available2019-11-28T11:31:11Z
dc.date.issued2019-01-08none
dc.date.updated2019-09-29T21:24:02Z
dc.identifier.urihttp://edoc.hu-berlin.de/18452/21588
dc.description.abstractObjective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses. Some methodologists claim that a one-stage individual-participant data (IPD) mega-analysis can be superior to a two-stage aggregated data meta-analysis, since more detailed computations can be performed in a mega-analysis. Before definitive conclusions regarding the performance of either method can be drawn, it is necessary to critically evaluate the methodology of, and results obtained by, meta- and mega-analyses. Methods: Here, we compare the inverse variance weighted random-effect meta-analysis model with a multiple linear regression mega-analysis model, as well as with a linear mixed-effects random-intercept mega-analysis model, using data from 38 cohorts including 3,665 participants of the ENIGMA-OCD consortium. We assessed the effect sizes and standard errors, and the fit of the models, to evaluate the performance of the different methods. Results: The mega-analytical models showed lower standard errors and narrower confidence intervals than the meta-analysis. Similar standard errors and confidence intervals were found for the linear regression and linear mixed-effects random-intercept models. Moreover, the linear mixed-effects random-intercept models showed better fit indices compared to linear regression mega-analytical models. Conclusions: Our findings indicate that results obtained by meta- and mega-analysis differ, in favor of the latter. In multi-center studies with a moderate amount of variation between cohorts, a linear mixed-effects random-intercept mega-analytical framework appears to be the better approach to investigate structural neuroimaging data.eng
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectneuroimagingeng
dc.subjectMRIeng
dc.subjectIPD meta-analysiseng
dc.subjectmega-analysiseng
dc.subjectlinear mixed-effect modelseng
dc.subject.ddc610 Medizin und Gesundheitnone
dc.titleAn Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Groupnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/21588-7
dc.identifier.doihttp://dx.doi.org/10.18452/20854
dc.type.versionpublishedVersionnone
local.edoc.pages8none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn1662-5196
dcterms.bibliographicCitation.doi10.3389/fninf.2018.00102none
dcterms.bibliographicCitation.journaltitleFrontiers in Neuroinformaticsnone
dcterms.bibliographicCitation.volume12none
dcterms.bibliographicCitation.articlenumber102none
dcterms.bibliographicCitation.originalpublishernameFrontiers Media S.A.none
dcterms.bibliographicCitation.originalpublisherplaceLausannenone
bua.import.affiliationBeucke, Jan C.; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germanynone
bua.import.affiliationKathmann, Norbert; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germanynone
bua.import.affiliationKaufmann, Christian; Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germanynone
bua.departmentLebenswissenschaftliche Fakultätnone

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