The metafor Package

A Meta-Analysis Package for R

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tips [2019/06/30 11:46] – external edit 127.0.0.1tips [2020/05/09 13:56] Wolfgang Viechtbauer
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   * [[tips:multiple_factors_interactions|Models with Multiple Factors and Their Interaction]]: An illustration of how to examine and conduct tests of models involving multiple factors and their interaction.   * [[tips:multiple_factors_interactions|Models with Multiple Factors and Their Interaction]]: An illustration of how to examine and conduct tests of models involving multiple factors and their interaction.
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 +  * [[tips:meta_regression_with_log_rr|Interpreting Coefficients in Meta-Regression Models with (Log) Risk Ratios]]: A little tutorial on how to interpret the coefficients in a meta-regression model when using the log risk ratio as the outcome measure.
  
   * [[tips:bootstrapping_with_ma|Bootstrapping with Meta-Analytic Models]]: An example showing how to conduct parametric and non-parametric bootstrapping with meta-analytic models.   * [[tips:bootstrapping_with_ma|Bootstrapping with Meta-Analytic Models]]: An example showing how to conduct parametric and non-parametric bootstrapping with meta-analytic models.
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   * [[tips:multiple_imputation_with_mice_and_metafor|Multiple Imputation with the mice and metafor Packages]]: An illustration of how to do multiple imputation together with the mice and metafor packages.   * [[tips:multiple_imputation_with_mice_and_metafor|Multiple Imputation with the mice and metafor Packages]]: An illustration of how to do multiple imputation together with the mice and metafor packages.
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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.txt · Last modified: 2022/10/15 13:21 by Wolfgang Viechtbauer