Lohmann, Anna;
Astivia, Oscar LO;
Morris, Tim P;
Groenwold, Rolf HH;
(2022)
It's time! Ten reasons to start replicating simulation studies.
Frontiers in Epidemiology
, 2
, Article 973470. 10.3389/fepid.2022.973470.
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Abstract
The quantitative analysis of research data is a core element of empirical research. The performance of statistical methods that are used for analyzing empirical data can be evaluated and compared using computer simulations. A single simulation study can influence the analyses of thousands of empirical studies to follow. With great power comes great responsibility. Here, we argue that this responsibility includes replication of simulation studies to ensure a sound foundation for data analytical decisions. Furthermore, being designed, run, and reported by humans, simulation studies face challenges similar to other experimental empirical research and hence should not be exempt from replication attempts. We highlight that the potential replicability of simulation studies is an opportunity quantitative methodology as a field should pay more attention to.
| Type: | Article |
|---|---|
| Title: | It's time! Ten reasons to start replicating simulation studies |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3389/fepid.2022.973470 |
| Publisher version: | http://dx.doi.org/10.3389/fepid.2022.973470 |
| Language: | English |
| Additional information: | COPYRIGHT © 2022 Lohmann, Astivia, Morris and Groenwold. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Keywords: | replication, data analysis, research statistics, simulation study, reproduction |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology > MRC Clinical Trials Unit at UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Inst of Clinical Trials and Methodology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10155862 |
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