White, Ian R;
(2023)
The importance of plausible data-generating mechanisms in simulation studies: A response to "Comparing methods for handling missing covariates in meta-regression" by Lee & Beretvas (doi:10.1002/jrsm.1585).
Research Synthesis Methods
, 14
(1)
pp. 137-139.
10.1002/jrsm.1605.
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Abstract
The paper by Lee and Beretvas (doi:10.1002/jrsm.1585) described a well-executed simulation study comparing "modern" with "ad hoc" methods for performing meta-regression when some covariates are incomplete. However, they drew practical conclusions after simulating data under a single missing data mechanism which favoured the "modern" methods, while other missing data mechanisms would have favoured the "ad hoc" methods. Broad recommendations about methods to use in practice should instead be based on simulation studies using a range of plausible data-generating mechanisms. This range must represent what is believed likely to occur in practice, and not what is convenient for statistical analysis. This article is protected by copyright.
| Type: | Article |
|---|---|
| Title: | The importance of plausible data-generating mechanisms in simulation studies: A response to "Comparing methods for handling missing covariates in meta-regression" by Lee & Beretvas (doi:10.1002/jrsm.1585) |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/jrsm.1605 |
| Publisher version: | https://doi.org/10.1002/jrsm.1605 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| 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 UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10156824 |
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