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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/31923

Title: Strengthening the reporting of empirical simulation studies: Introducing the STRESS guidelines
Authors: Robinson, Stewart
Taylor, Simon J.
Monks, Thomas
Currie, C.
Onggo, S.
Kunc, M.
Keywords: Simulation
Discrete event simulation
Agent-based simulation
System dynamics
Issue Date: 2018
Publisher: Palgrave Macmillan
Citation: ROBINSON, S. ... et al, 2018. Strengthening the reporting of empirical simulation studies: Introducing the STRESS guidelines. Journal of Simulation, In Press.
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 trouble-shooting advice to cover a wide range of situations.
Description: This paper is closed access until 12 months after the date of publication.
Sponsor: One of the authors (TM) is funded by the National Institute for Health Research (NIHR) Collaborations for Leadership in Applied Health Research and Care (CLAHRC) Wessex.
Version: Accepted for publication
DOI: 10.1080/17477778.2018.1442155
URI: https://dspace.lboro.ac.uk/2134/31923
Publisher Link: https://doi.org/10.1080/17477778.2018.1442155
ISSN: 1747-7778
Appears in Collections:Closed Access (Business)

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