The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
How to perform a meta-analysis with R: a practical tutorial
Open accessAbstract
OBJECTIVE: Meta-analysis is of fundamental importance to obtain an unbiased assessment of the available evidence. In general, the use of meta-analysis has been increasing over the last three decades with mental health as a major research topic. It is then essential to well understand its methodology and interpret its results. In this publication, we describe how to perform a meta-analysis with the freely available statistical software environment R, using a working example taken from the field of mental health. METHODS: R package meta is used to conduct standard meta-analysis. Sensitivity analyses for missing binary outcome data and potential selection bias are conducted with R package metasens. All essential R commands are provided and clearly described to conduct and report analyses. RESULTS: The working example considers a binary outcome: we show how to conduct a fixed effect and random effects meta-analysis and subgroup analysis, produce a forest and funnel plot and to test and adjust for funnel plot asymmetry. All these steps work similar for other outcome types. CONCLUSIONS: R represents a powerful and flexible tool to conduct meta-analyses. This publication gives a brief glimpse into the topic and provides directions to more advanced meta-analysis methods available in R.
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“Amongst the major modifiable risk factors of stillbirths, risk attributed to malaria is approximately 8% which can be prevented if exposure minimized [30].”
From Malaria in pregnancy: Meta-analyses of prevalence and associated complications (2024) · cites this paper as [30]
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2021) · doi:10.1002/9781119558378 · Cited by 9,799
Sterne, J. A. C., Sutton, A. J., Ioannidis, J. P. A., Terrin, N., Jones, D. R., Lau, J., Carpenter, J., Rucker, G., Harbord, R. M., Schmid, C. H., et al. (2011) · BMJ · doi:10.1136/bmj.d4002 · Cited by 7,709
Self-citationFeature Selection with the Boruta Package
Kursa, M. B., & Rudnicki, W. R. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i11 · Cited by 5,659
A Nonparametric “Trim and Fill” Method of Accounting for Publication Bias in Meta-Analysis
Duval, S., & Tweedie, R. (2000) · Journal of the American Statistical Association · doi:10.1080/01621459.2000.10473905 · Cited by 2,955
A Re-Evaluation of Random-Effects Meta-Analysis
Higgins, J. P. T., Thompson, S. G., & Spiegelhalter, D. J. (2009) · Journal of the Royal Statistical Society Series A: Statistics in Society · doi:10.1111/j.1467-985x.2008.00552.x · Cited by 2,569
Publication Bias in Meta‐Analysis: Prevention, Assessment and Adjustments
(2005) · doi:10.1002/0470870168 · Cited by 2,368
Publication and related bias in meta-analysis
Sterne, J. A. C., Gavaghan, D., & Egger, M. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00242-0 · Cited by 2,282
Research works printed but not linked: 1
- Schwarzer, 2007, meta: an R package for meta-analysis, R News, 7, 40
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Items 1,001–1,039 of 1,039
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Triantafyllou, G., Paschopoulos, I., Duparc, F., Tsakotos, G., Tsiouris, C., Olewnik, Ł., Georgiev, G., Zielinska, N., & Piagkou, M. (2024) · doi:10.21203/rs.3.rs-4557932/v1 · Cited by 26
Jiang, N., Zhang, Y., Liang, S., Lyu, X., Chen, S., Huang, X., & Pan, H. (2024) · Journal of Medical Internet Research · doi:10.2196/56195 · Cited by 28
“All data analyses were performed using package meta of R software (version 4.2.3; R Foundation for Statistical Computing) [29] and TSA software (version 0.9.5.10 beta; Copenhagen Trial Unit).”
InfluentialSrisurapanont, K., Samakarn, Y., Kamklong, B., Siratrairat, P., Bumiputra, A., Jaikwang, M., & Srisurapanont, M. (2021) · PLOS ONE · doi:10.1371/journal.pone.0246172 · Cited by 25
Smedegaard, S., Kampmann, U., Ovesen, P. G., Støvring, H., & Rittig, N. (2023) · The American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2023.05.012 · Cited by 28
Lai, R., Ju, J., Lin, Q., & Xu, H. (2020) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2020.600497 · Cited by 19
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Yang, Z., Feng, G., Gao, X., Yan, X., Li, Y., Wang, Y., Li, S., Jiang, Y., Zhao, S., Zhao, H., et al. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01994-6 · Cited by 22
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“The statistical analysis for this meta-analysis was conducted using R version 4.4 with the ‘meta’ and ‘metafor’ packages [17].”
InfluentialSchwarz, R., Munkholm, K., Christensen, M. S., Kessing, L. V., & Vinberg, M. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.07.054 · Cited by 17
Li, H., Initiative, F. T. A. D. N., Liu, H., Lutz, M. W., & Luo, S. (2023) · Journal of Alzheimer's Disease · doi:10.3233/jad-220680 · Cited by 17
Navinés, R., Olive, V., Hidalgo-Mazzei, D., Langohr, K., Vieta, E., & Martin-Santos, R. (2024) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1286101 · Cited by 15
Goedderz, A., & Hahn, A. (2022) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2022.104374 · Cited by 15
Garza, M. Y., Williams, T., Ounpraseuth, S., Hu, Z., Lee, J., Snowden, J., Walden, A. C., Simon, A. E., Devlin, L. A., Young, L. W., et al. (2025) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2024.105749 · Cited by 17
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Osborne, K.-L., Munasinghe, S., & Page, A. (2025) · Journal of Family Violence · doi:10.1007/s10896-025-00871-8 · Cited by 7
Review: Social media use and adolescent mental health - an umbrella review and power analysis.
Tølbøll, K. B. (2026) · Child and Adolescent Mental Health · doi:10.1111/camh.70071 · Cited by 8
Atem, T. D., Singh, R., Newbury-Birch, D., Pal, B., & Chaudhary, V. (2025) · BMC Pediatrics · doi:10.1186/s12887-025-05676-8 · Cited by 8
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McIsaac, D. I., Hutton, B., Veroniki, A., Gill, M., Boland, L., Branje, K., Grudzinski, A. L., Hladkowicz, E., Shaw, J., & Gillis, C. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-068797 · Cited by 7
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von Spreckelsen, P., Schouten, D., Waslam, N. G., Katuin, P., Heering, H. D., Planting, C., Antypa, N., Kivelä, L., Lancel, M., & Schweren, L. J. S. (2025) · Sleep Medicine: X · doi:10.1016/j.sleepx.2025.100145 · Cited by 7
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Rakhshanda, S., Briggs, N. E., Rhee, J., Rye, K.-A., Liaw, S.-T., & Jonnagaddala, J. (2026) · European Journal of Preventive Cardiology · doi:10.1093/eurjpc/zwag175 · Cited by 3
Dankner, M., Dubé, L.-R., Sorin, M., Stein, A. J. B., Nowakowski, A., Park, C. L., Magrill, J., Lazaratos, A.-M., Romero, J. M., Batist, G., et al. (2025) · Current Oncology · doi:10.3390/curroncol32110624 · Cited by 3
Coulon, A., Rabiller, F., Takalo, M., Roy, A., Pelletier, A., Martiskainen, H., Siedlecki-Wullich, D., Lannette-Weimann, N., Majerníková, N., Grenon, A., et al. (2024) · doi:10.1101/2024.04.29.591575 · Cited by 3
Bernasconi, A. A., Maki, K. C., & Finkelstein, E. A. (2025) · Value in Health · doi:10.1016/j.jval.2025.07.005 · Cited by 2
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Lippens, L., Vermeiren, S., & Baert, S. (2023) · European Economic Review · doi:10.1016/j.euroecorev.2022.104315
Metadata
- Authors
- Balduzzi, S., Rücker, G., & Schwarzer, G.
- Affiliations
- University of Freiburg (DE)
- Corresponding author
- Balduzzi, Sara
- Venue
- Evidence Based Mental Health
- Publisher
- BMJ
- Published
- 2019-09-28
- Volume
- 22
- Issue
- 4
- Pages
- 153-160
- ISSN
- 1362-0347 (ISSN-L)
- 1468-960X
- PMC
- PMC10231495
- OpenAlex
- W2975424845
- Cited by
- 5,827
- References
- 31
- Citations by year
- 2026: 1019 · 2025: 1163 · 2024: 1107 · 2023: 876 · 2022: 885 · 2021: 574 · 2020: 200
- FWCI
- 84.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Evidence-Based Mental Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- meta-analysis, R software, meta-package, sensitivity analysis, selection bias, fixed effects model, random effects models, subgroup analysis, forest plots, funnel plot asymmetry, binary outcomes, mental health research
- MeSH terms
- Humans, Software, Meta-Analysis as Topic, Biomedical Research
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