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dc.contributor.authorMonks, T
dc.contributor.authorCurrie, CSM
dc.contributor.authorOnggo, BS
dc.contributor.authorRobinson, S
dc.contributor.authorKunc, M
dc.contributor.authorTaylor, SJE
dc.date.accessioned2019-12-10T12:07:41Z
dc.date.issued2018-03-06
dc.description.abstractThis study develops a standardised checklist approach to improve the reporting of discrete-event simulation, system dynamics and agent-based simulation models within the field of Operational Research and Management Science. Incomplete or ambiguous reporting means that many simulation studies are not reproducible, leaving other modellers with an incomplete picture of what has been done and unable to judge the reliability of the results. Crucially, unclear reporting makes it difficult to reproduce or reuse findings. In this paper, we review the evidence on the quality of model reporting and consolidate previous work. We derive general good practice principles and three 20-item checklists aimed at Strengthening The Reporting of Empirical Simulation Studies (STRESS): STRESS-DES, STRESS-ABS and STRESS-SD for discrete-event simulation, agent-based simulation and system dynamics, respectively. Given the variety of simulation projects, we provide usage and troubleshooting advice to cover a wide range of situations.en_GB
dc.description.sponsorshipNational Institute for Health Research (NIHR)en_GB
dc.identifier.citationVol. 13 (1), pp. 55 - 67en_GB
dc.identifier.doi10.1080/17477778.2018.1442155
dc.identifier.urihttp://hdl.handle.net/10871/40055
dc.language.isoenen_GB
dc.publisherTaylor & Francis for OR Societyen_GB
dc.rights© 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectSimulationen_GB
dc.subjectreportingen_GB
dc.subjectreproducibilityen_GB
dc.subjectdiscrete-event simulationen_GB
dc.subjectagent-based simulationen_GB
dc.subjectsystem dynamicsen_GB
dc.titleStrengthening the reporting of empirical simulation studies: Introducing the STRESS guidelinesen_GB
dc.typeArticleen_GB
dc.date.available2019-12-10T12:07:41Z
dc.identifier.issn1747-7778
dc.descriptionThis is the final version. Available on open access from Taylor & Francis via the DOI in this recorden_GB
dc.identifier.journalJournal of Simulationen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2018-02-14
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2018-03-06
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-12-10T12:05:31Z
refterms.versionFCDVoR
refterms.dateFOA2019-12-10T12:07:47Z
refterms.panelAen_GB
refterms.depositExceptionpublishedGoldOA


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© 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.