Strengthening the reporting of empirical simulation studies: Introducing the STRESS guidelines
dc.contributor.author | Monks, T | |
dc.contributor.author | Currie, CSM | |
dc.contributor.author | Onggo, BS | |
dc.contributor.author | Robinson, S | |
dc.contributor.author | Kunc, M | |
dc.contributor.author | Taylor, SJE | |
dc.date.accessioned | 2019-12-10T12:07:41Z | |
dc.date.issued | 2018-03-06 | |
dc.description.abstract | This 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.sponsorship | National Institute for Health Research (NIHR) | en_GB |
dc.identifier.citation | Vol. 13 (1), pp. 55 - 67 | en_GB |
dc.identifier.doi | 10.1080/17477778.2018.1442155 | |
dc.identifier.uri | http://hdl.handle.net/10871/40055 | |
dc.language.iso | en | en_GB |
dc.publisher | Taylor & Francis for OR Society | en_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.subject | Simulation | en_GB |
dc.subject | reporting | en_GB |
dc.subject | reproducibility | en_GB |
dc.subject | discrete-event simulation | en_GB |
dc.subject | agent-based simulation | en_GB |
dc.subject | system dynamics | en_GB |
dc.title | Strengthening the reporting of empirical simulation studies: Introducing the STRESS guidelines | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-12-10T12:07:41Z | |
dc.identifier.issn | 1747-7778 | |
dc.description | This is the final version. Available on open access from Taylor & Francis via the DOI in this record | en_GB |
dc.identifier.journal | Journal of Simulation | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2018-02-14 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2018-03-06 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-12-10T12:05:31Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-12-10T12:07:47Z | |
refterms.panel | A | en_GB |
refterms.depositException | publishedGoldOA |
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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.