metafor: Meta-Analysis Package for R. A comprehensive collection of functions for conducting meta-analyses in R. The package includes functions to calculate various effect sizes or outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator and meta-regression analyses, and create various types of meta-analytical plots (e.g., forest, funnel, radial, L’Abbe, Baujat plots). For meta-analyses of binomial and person-time data, the package also provides functions that implement specialized methods, including the Mantel-Haenszel method, Peto’s method, and a variety of suitable generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models). Finally, the package provides functionality for fitting meta-analytic multivariate/multilevel models that account for non-independent sampling errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints, or other forms of clustering). Network meta-analyses and meta-analyses accounting for known correlation structures (e.g., due to phylogenetic relatedness) can also be conducted.

References in zbMATH (referenced in 33 articles , 1 standard article )

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  1. Indrajeet Patil: statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details (2021) not zbMATH
  2. Mulder, J., Williams, D. R., Gu, X., Tomarken, A., Böing-Messing, F., Olsson-Collentine, A., Meijerink-Bosman, M., Menke, J., van Aert, R., Fox, J.-P., Hoijtink, H., Rosseel, Y., Wagenmakers, E.-J., van Lissa, C.: BFpack: Flexible Bayes Factor Testing of Scientific Theories in R (2021) not zbMATH
  3. Weber, S., Li, Y., Seaman III, J. W., Kakizume, T., Schmidli, H.: Applying Meta-Analytic-Predictive Priors with the R Bayesian Evidence Synthesis Tools (2021) not zbMATH
  4. Evangelos Kontopantelis; David Reeves: Pairwise meta-analysis of aggregate data using metaan in Stata (2020) not zbMATH
  5. Mathur, Maya B.; VanderWeele, Tyler J.: Sensitivity analysis for unmeasured confounding in meta-analyses (2020)
  6. Cerquaglia, M. L.; Thomas, D.; Boman, R.; Terrapon, V.; Ponthot, J.-P.: A fully partitioned Lagrangian framework for FSI problems characterized by free surfaces, large solid deformations and displacements, and strong added-mass effects (2019)
  7. Yu, Dalei; Ding, Chang; He, Na; Wang, Ruiwu; Zhou, Xiaohua; Shi, Lei: Robust estimation and confidence interval in meta-regression models (2019)
  8. Zhao, Qingyuan; Small, Dylan S.; Su, Weijie: Multiple testing when many (p)-values are uniformly conservative, with application to testing qualitative interaction in educational interventions (2019)
  9. Diaa Al Mohamad, Jelle J. Goeman, Erik W. van Zwet: Simultaneous Confidence Intervals for Ranks With Application to Ranking Institutions (2018) arXiv
  10. Jackson, Dan; White, Ian R.: When should meta-analysis avoid making hidden normality assumptions? (2018)
  11. Schmitt, Eric; Tull, Christopher; Atwater, Patrick: Extending Bayesian structural time-series estimates of causal impact to many-household conservation initiatives (2018)
  12. Christian Roever: Bayesian random-effects meta-analysis using the bayesmeta R package (2017) arXiv
  13. Jordi Martorell-Marugan, Daniel Toro-Dominguez, Marta E. Alarcon-Riquelme, Pedro Carmona-Saez: MetaGenyo: a web tool for meta-analysis of genetic association studies (2017) not zbMATH
  14. Lifeng Lin; Jing Zhang; James Hodges; Haitao Chu: Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package (2017) not zbMATH
  15. Li, Xinru; Dusseldorp, Elise; Meulman, Jacqueline J.: Meta-CART: a tool to identify interactions between moderators in meta-analysis (2017)
  16. Mathé, Ewy (ed.); Davis, Sean (ed.): Statistical genomics. Methods and protocols (2016)
  17. Röver, Christian; Andreas, Stefan; Friede, Tim: Evidence synthesis for count distributions based on heterogeneous and incomplete aggregated data (2016)
  18. Savelsbergh, Elwin R.; Prins, Gjalt T.; Rietbergen, Charlotte; Fechner, Sabine; Vaessen, Bram E.; Draijer, Jael M.; Bakker, Arthur: Effects of innovative science and mathematics teaching on student attitudes and achievement: a meta-analytic study (2016) MathEduc
  19. Andreano, Anita; Rebora, Paola; Valsecchi, Maria Grazia: Measures of single arm outcome in meta-analyses of rare events in the presence of competing risks (2015)
  20. Bussetta, Philippe; Boman, Romain; Ponthot, Jean-Philippe: Efficient 3D data transfer operators based on numerical integration (2015)

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