Journal article
An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group
PSW Boedhoe, MW Heymans, L Schmaal, Y Abe, P Alonso, SH Ameis, A Anticevic, PD Arnold, MC Batistuzzo, F Benedetti, JC Beucke, I Bollettini, A Bose, S Brem, A Calvo, R Calvo, Y Cheng, KIK Cho, V Ciullo, S Dallaspezia Show all
Frontiers in Neuroinformatics | FRONTIERS MEDIA SA | Published : 2019
Abstract
Objective: 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 ..
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Awarded by National Institutes of Health
Funding Acknowledgements
DS has received research grants and/or consultancy honoraria from Biocodex, Lundbeck, and Sun in the past 3 years. The ENIGMA-Obsessive Compulsive Disorder Working-Group gratefully acknowledges support from the NIH BD2K award U54 EB020403 (PI: PT) and Neuroscience Amsterdam, IPB-grant to LS and OvdH. Supported by the Hartmann Muller Foundation (No. 1460 to SB); the International Obsessive-Compulsive Disorder Foundation (IOCDF) Research Award to PG; the Dutch Organization for Scientific Research (NWO) (grants 912-02-050, 907-00-012, 940-37-018, and 916.86.038); the Netherlands Society for Scientific Research (NWO-ZonMw VENI grant 916.86.036 to OvdH; NWO-ZonMw AGIKO stipend 920-03-542 to Dr. de Vries), a NARSAD Young Investigator Award to OvdH, and the Netherlands Brain Foundation [2010(1)-50 to OvdH]; Oxfordshire Health Services Research Committee (OHSRC) (AJ); the Deutsche Forschungsgemeinschaft (DFG) (KO 3744/2-1 to KK); the Marato TV3 Foundation grants 01/2010 and 091710 to LL; the Wellcome Trust and a pump priming grant from the South London and Maudsley Trust, London, UK (Project grant no. 064846) to DM-C; the Japanese Ministry of Education, Culture, Sports, Science, and Technology (MEXT KAKENHI No. 16K19778 and 18K07608 to TN); International OCD Foundation Research Award 20153694 and an UCLA Clinical and Translational Science Institute Award (to EN); National Institutes of Mental Health grant R01MH081864 (to JO and JP) and grant R01MH085900 (to JO and JF); the Government of India grants to YR (SR/S0/HS/0016/2011) and JN (DST INSPIRE faculty grant -IFA12-LSBM-26) of the Department of Science and Technology; the Government of India grants to YR (No. BT/PR13334/Med/30/259/2009) and JN (BT/06/IYBA/2012) of the Department of Biotechnology; the Wellcome-DBT India Alliance grant to GV (500236/Z/11/Z); the Carlos III Health Institute (CP10/00604, PI13/00918, PI13/01958, PI14/00413/PI040829, PI16/00889); FEDER funds/European Regional Development Fund (ERDF), AGAUR (2017 SGR 1247 and 2014 SGR 489); a Miguel Servet contract (CPII16/00048) from the Carlos III Health Institute to CS-M; the Italian Ministry of Health (RC10-11-12-13-14-15A to GS); the Swiss National Science Foundation (No. 320030_130237 to SW); and the Netherlands Organization for Scientific Research (NWO VIDI 917-15-318 to GvW). Further we wish to acknowledge Nerisa Banaj, Ph.D., Silvio Conte, Sergio Hernandez B.A., Yu Jin Ressal and Alice Quinton.