metafor

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 25 articles , 1 standard article )

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  1. Yu, Dalei; Ding, Chang; He, Na; Wang, Ruiwu; Zhou, Xiaohua; Shi, Lei: Robust estimation and confidence interval in meta-regression models (2019)
  2. Diaa Al Mohamad, Jelle J. Goeman, Erik W. van Zwet: Simultaneous Confidence Intervals for Ranks With Application to Ranking Institutions (2018) arXiv
  3. Jackson, Dan; White, Ian R.: When should meta-analysis avoid making hidden normality assumptions? (2018)
  4. Schmitt, Eric; Tull, Christopher; Atwater, Patrick: Extending Bayesian structural time-series estimates of causal impact to many-household conservation initiatives (2018)
  5. Christian Roever: Bayesian random-effects meta-analysis using the bayesmeta R package (2017) arXiv
  6. Lifeng Lin; Jing Zhang; James Hodges; Haitao Chu: Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package (2017) not zbMATH
  7. Li, Xinru; Dusseldorp, Elise; Meulman, Jacqueline J.: Meta-CART: a tool to identify interactions between moderators in meta-analysis (2017)
  8. Mathé, Ewy (ed.); Davis, Sean (ed.): Statistical genomics. Methods and protocols (2016)
  9. Röver, Christian; Andreas, Stefan; Friede, Tim: Evidence synthesis for count distributions based on heterogeneous and incomplete aggregated data (2016)
  10. 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
  11. 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)
  12. Bussetta, Philippe; Boman, Romain; Ponthot, Jean-Philippe: Efficient 3D data transfer operators based on numerical integration (2015)
  13. Flore, Paulette C.; Wicherts, Jelte M.: Does stereotype threat influence performance of girls in stereotyped domains? A meta-analysis (2015) MathEduc
  14. Luo, Jingqin; D’Angela, Gina; Gao, Feng; Ding, Jimin; Xiong, Chengjie: Bivariate correlation coefficients in family-type clustered studies (2015)
  15. Schwarzer, Guido; Carpenter, James R.; Rücker, Gerta: Meta-analysis with R (2015)
  16. Andon, Anabelle; Thompson, Christopher G.; Becker, Betsy J.: A quantitative synthesis of the immigrant achievement gap across OECD countries (2014) MathEduc
  17. Dogo, Samson Henry: An adaptation of Lan method for monitoring cumulative correlations (2014)
  18. Jiang, Xiaoqi; Kopp-Schneider, Annette: Summarizing EC50 estimates from multiple dose-response experiments: a comparison of a meta-analysis strategy to a mixed-effects model approach (2014)
  19. Friedrich, Thomas; Knapp, Guido: Generalised interval estimation in the random effects meta regression model (2013)
  20. Jeunechamps, P.-P.; Ponthot, J.-P.: An efficient 3D implicit approach for the thermomechanical simulation of elastic-viscoplastic materials submitted to high strain rate and damage (2013)

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