Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/17103
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSmart, Neilen
dc.contributor.authorSteele, Michaelen
dc.date.accessioned2015-05-01T15:16:00Z
dc.date.issued2014en
dc.identifier.citationJournal of Data Science, 12(2), p. 377-384en
dc.identifier.issn1683-8602en
dc.identifier.issn1680-743Xen
dc.identifier.urihttps://hdl.handle.net/1959.11/17103en
dc.description.abstract'Background': A fixed effects meta-analysis of ten exercise training in trials heart failure patients was conducted. The aim of this current work was to compare different approaches to meta analysis using the same dataset from the previous work on ten exercise training trials in heart failure patients. 'Methods': The following different meta-analysis techniques were used to analyse the data and compared the effects of exercise training on BNP, NT-pro-BNP and peak VO2 before and after exercise training: (1) Trial level (traditional) level MA i) Follow up (post-exercise training intervention) outcome only. ii) Baseline-follow up difference (2) Patient level MA by Post-Stage ANCOVA i) naive model does not take into account trial level ii) Single Stage iii) Two Stage (3) Post outcome only i) Single stage ii) Pre-post outcome difference Single stage. 'Results': The Individual patient data (IPD) analyses produced smaller effect sizes and 95% confidence intervals compared to conventional meta-analysis. The advantage of the one-stage model is that it allows sub-group analyses, while the two-stage model is considered more robust but limited for sub-analyses. 'Conclusions': Our recommendation is to use one-stage or two-stage ANCOVA analysis, the former allows sub-group analysis, while the latter is considered to be more technically robust.en
dc.languageenen
dc.publisherColumbia Universityen
dc.relation.ispartofJournal of Data Scienceen
dc.titleA comparison of individual patient analysis versus pooled study meta-analysis methodologies of exercise training trials in heart failure patientsen
dc.typeJournal Articleen
dc.subject.keywordsCardiovascular Medicine and Haematologyen
dc.subject.keywordsStochastic Analysis and Modellingen
dc.subject.keywordsCardiology (incl Cardiovascular Diseases)en
local.contributor.firstnameNeilen
local.contributor.firstnameMichaelen
local.subject.for2008110299 Cardiovascular Medicine and Haematology not elsewhere classifieden
local.subject.for2008110201 Cardiology (incl Cardiovascular Diseases)en
local.subject.for2008010406 Stochastic Analysis and Modellingen
local.subject.seo2008920103 Cardiovascular System and Diseasesen
local.profile.schoolSchool of Science and Technologyen
local.profile.schoolHuman Biology and Physiologyen
local.profile.emailnsmart2@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20150323-114440en
local.publisher.placeUnited States of Americaen
local.format.startpage377en
local.format.endpage384en
local.peerreviewedYesen
local.identifier.volume12en
local.identifier.issue2en
local.contributor.lastnameSmarten
local.contributor.lastnameSteeleen
dc.identifier.staffune-id:nsmart2en
local.profile.orcid0000-0002-8290-6409en
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:17318en
local.identifier.handlehttps://hdl.handle.net/1959.11/17103en
dc.identifier.academiclevelAcademicen
local.title.maintitleA comparison of individual patient analysis versus pooled study meta-analysis methodologies of exercise training trials in heart failure patientsen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.relation.urlhttp://www.jds-online.com/file_download/455/10.JDS-1270_1.pdfen
local.description.statisticsepubsVisitors: 190<br />Views: 238<br />Downloads: 0en
local.search.authorSmart, Neilen
local.search.authorSteele, Michaelen
Appears in Collections:Journal Article
Files in This Item:
3 files
File Description SizeFormat 
Show simple item record

Page view(s)

74
checked on Dec 29, 2018
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.