Application of the gradient boosted method in randomised clinical trials: participant variables that contribute to depression treatment efficacy of duloxetine, SSRIs or placebo Dodd,S, Berk,M, Kelin,K, Zhang,Q, Eriksson,E, Deberdt,W and Craig Nelson,J 2014, Application of the gradient boosted method in randomised clinical trials: participant variables that contribute to depression treatment efficacy of duloxetine, SSRIs or placebo, Journal of affective disorders, vol. 168, pp. 284-293, doi: 10.1016/j.jad.2014.05.014. Attached Files Name Description MIMEType Size Downloads Title Application of the gradient boosted method in randomised clinical trials: participant variables that contribute to depression treatment efficacy of duloxetine, SSRIs or placebo Author(s) Dodd,S orcid.org/0000-0002-7918-4636 Berk,M orcid.org/0000-0002-5554-6946 Kelin,K Zhang,Q Eriksson,E Deberdt,W Craig Nelson,J Journal name Journal of affective disorders Volume number 168 Start page 284 End page 293 Total pages 10 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2014-10-15 ISSN 1573-2517 Keyword(s) Depression Duloxetine Gradient Boosted method Randomised clinical trial SSRI Science & Technology Life Sciences & Biomedicine Clinical Neurology Psychiatry Neurosciences & Neurology SEROTONIN-REUPTAKE INHIBITORS PAROXETINE-CONTROLLED TRIAL 60 MG DOUBLE-BLIND ELDERLY-PATIENTS NON-INFERIORITY DISORDER REMISSION PREDICTORS TOLERABILITY Summary Randomised, placebo-controlled trials of treatments for depression typically collect outcomes data but traditionally only analyse data to demonstrate efficacy and safety. Additional post-hoc statistical techniques may reveal important insights about treatment variables useful when considering inter-individual differences amongst depressed patients. This paper aims to examine the Gradient Boosted Model (GBM), a statistical technique that uses regression tree analyses and can be applied to clinical trial data to identify and measure variables that may influence treatment outcomes. Language eng DOI 10.1016/j.jad.2014.05.014 Field of Research 110999 Neurosciences not elsewhere classified Socio Economic Objective 920410 Mental Health HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30067307 Document type: Journal Article Collections: Faculty of Health School of Medicine Related Links Link Description Connect to published version Go to link with your DU access privileges   Author URL Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 11 Nov 2014, 13:07:32 EST Mon, 08 Dec 2014, 10:51:09 EST Mon, 08 Dec 2014, 11:12:20 EST Mon, 08 Dec 2014, 11:19:09 EST Wed, 10 Dec 2014, 09:33:22 EST Wed, 10 Dec 2014, 09:35:56 EST Wed, 10 Dec 2014, 09:36:46 EST Wed, 14 Oct 2015, 13:56:06 EST Filtered Full Citation counts:   Cited 10 times in TR Web of Science Cited 11 times in Scopus Search Google Scholar Access Statistics: 665 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 08 Dec 2014, 10:51:09 EST

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