The metafor Package

A Meta-Analysis Package for R

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tips [2020/05/09 13:56] Wolfgang Viechtbauertips [2021/01/06 11:04] Wolfgang Viechtbauer
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   * [[tips:clogit_paired_binary_data|Conditional Logistic Regression for Paired Binary Data]]: An illustration of how to fit the conditional logistic regression model for paired binary data.   * [[tips:clogit_paired_binary_data|Conditional Logistic Regression for Paired Binary Data]]: An illustration of how to fit the conditional logistic regression model for paired binary data.
  
-  * [[tips:i2_multilevel_multivariate|I^2 for Multilevel and Multivariate Models]]: A discussion of how one can compute $I^2$-type statistics in multilevel and multivariate models.+  * [[tips:i2_multilevel_multivariate|$I^2for Multilevel and Multivariate Models]]: A discussion of how one can compute $I^2$-type statistics in multilevel and multivariate models.
  
   * [[tips:hunter_schmidt_method|Hunter and Schmidt Method]]: A discussion of how one can conduct meta-analyses according to the Hunter & Schmidt method.   * [[tips:hunter_schmidt_method|Hunter and Schmidt Method]]: A discussion of how one can conduct meta-analyses according to the Hunter & Schmidt method.
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   * [[tips:non_linear_meta_regression|Modeling Non-Linear Associations in Meta-Regression]]: An illustration of how to model non-linear associations in meta-regression using polynomial and restricted cubic spline models.   * [[tips:non_linear_meta_regression|Modeling Non-Linear Associations in Meta-Regression]]: An illustration of how to model non-linear associations in meta-regression using polynomial and restricted cubic spline models.
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 +  * [[tips:computing_adjusted_effects|Computing Adjusted Effects Based on Meta-Regression Models]]: A discussion of how to compute 'adjusted effects' based on meta-regression models.
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 +  * [[tips:weights_in_rma.mv_models|Weights in Models Fitted with the rma.mv() Function]]: A discussion of how weighting works in more complex models, such as those that can be fitted with the ''rma.mv()'' function.
  
tips.txt · Last modified: 2022/10/15 13:21 by Wolfgang Viechtbauer