The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
An extended mixed‐effects framework for meta‐analysis
Abstract
Standard methods for meta‐analysis are limited to pooling tasks in which a single effect size is estimated from a set of independent studies. However, this setting can be too restrictive for modern meta‐analytical applications. In this contribution, we illustrate a general framework for meta‐analysis based on linear mixed‐effects models, where potentially complex patterns of effect sizes are modeled through an extended and flexible structure of fixed and random terms. This definition includes, as special cases, a variety of meta‐analytical models that have been separately proposed in the literature, such as multivariate, network, multilevel, dose‐response, and longitudinal meta‐analysis and meta‐regression. The availability of a unified framework for meta‐analysis, complemented with the implementation in a freely available and fully documented software, will provide researchers with a flexible tool for addressing nonstandard pooling problems.
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Cites
Meta-analysis in clinical trials
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Conducting Meta-Analyses in R with the metafor Package
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Mixed-Effects Models in S and S-PLUS
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The Handbook of Research Synthesis and Meta-Analysis
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Kenward, M. G., & Roger, J. H. (1997) · Biometrics · doi:10.2307/2533558 · Cited by 4,552 · cited 1×
“Solutions can be found in the LME models literature, such as the use of t or F distributions, 18 adjustments for standard errors and degrees of freedom, 64 and use of mixture distributions.”
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The burden of heat-related mortality attributable to recent human-induced climate change
Vicedo-Cabrera, A. M., Scovronick, N., Sera, F., Royé, D., Schneider, R., Tobias, A., Astrom, C., Guo, Y., Honda, Y., Hondula, D. M., et al. (2021) · Nature Climate Change · doi:10.1038/s41558-021-01058-x · Cited by 1,347
Self-citationHeat-related mortality in Europe during the summer of 2022
Ballester, J., Quijal-Zamorano, M., Méndez Turrubiates, R. F., Pegenaute, F., Herrmann, F. R., Robine, J. M., Basagaña, X., Tonne, C., Antó, J. M., & Achebak, H. (2023) · Nature Medicine · doi:10.1038/s41591-023-02419-z · Cited by 1,018
netmeta : An R Package for Network Meta-Analysis Using Frequentist Methods
Balduzzi, S., Rücker, G., Nikolakopoulou, A., Papakonstantinou, T., Salanti, G., Efthimiou, O., & Schwarzer, G. (2023) · Journal of Statistical Software · doi:10.18637/jss.v106.i02 · Cited by 532
“While netmeta offers a comprehensive set of functions for NMA and an easy to use interface, it lacks on flexibility compared to the more general R packages metafor (Viechtbauer 2010) and mixmeta (Sera et al. 2019).”
Alahmad, B., Khraishah, H., Royé, D., Vicedo-Cabrera, A. M., Guo, Y., Papatheodorou, S. I., Achilleos, S., Acquaotta, F., Armstrong, B., Bell, M. L., et al. (2023) · Circulation · doi:10.1161/circulationaha.122.061832 · Cited by 448
Self-citationSARS-CoV-2 vaccination and myocarditis in a Nordic cohort study of 23 million residents
Karlstad, Ø., Hovi, P., Husby, A., Härkänen, T., Selmer, R. M., Pihlström, N., Hansen, J. V., Nohynek, H., Gunnes, N., Sundström, A., et al. (2022) · JAMA Cardiology · doi:10.1001/jamacardio.2022.0583 · Cited by 221
Metadata
- Authors
- Sera, F., Armstrong, B., Blangiardo, M., & Gasparrini, A.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 2019-10-24
- Volume
- 38
- Issue
- 29
- Pages
- 5429-5444
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2982160553
- Cited by
- 323
- References
- 77
- FWCI
- 13.19
- Type
- journal article
- Language
- en
- Open access
- closed
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