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British Journal of Clinical PsychologyVolume 61, Issue S1 p. 136-136 NoticeFree Access Notice This article corrects the following: Using supervised machine learning on neuropsychological data to distinguish OCD patients with and without sensory phenomena from healthy controls Caitlin A. Stamatis, Marcelo C. Batistuzzo, Tais Tanamatis, Euripedes C. Miguel, Marcelo Q. Hoexter, Kiara R. Timpano, Volume 60Issue 1British Journal of Clinical Psychology pages: 77-98 First Published online: December 10, 2020 First published: 04 January 2022 https://doi.org/10.1111/bjc.12352AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat The article listed below, intended for publication in British Journal of Clinical Psychology, Volume 61, Issue S1, a special issue entitled ‘mHealth and Technology Innovations for Anxiety and OC Spectrum Disorders’ was accidentally published in a regular issue. This article should be cited as shown below. References Stamatis, C. A., Batistuzzo, M. C., Tanamatis, T., Miguel, E. C., Hoexter, M. Q., & Timpano, K. R. (2021). Using supervised machine learning on neuropsychological data to distinguish OCD patients with and without sensory phenomena from healthy controls. British Journal of Clinical Psychology, 60(1), 77– 98. https://doi.org/10.1111/bjc.12272Wiley Online LibraryPubMedWeb of Science®Google Scholar Volume61, IssueS1Special Issue: mHealth and Technology Innovations for Anxiety and OC Spectrum DisordersJanuary 2022Pages 136-136 ReferencesRelatedInformation