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A Meta-Analysis Package for R
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tips:comp_mh_different_software
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Assembling Data for a Meta-Analysis of (Log) Odds Ratios
Assembling Data for a Meta-Analysis of Standardized Mean Differences
Bootstrapping with Meta-Analytic Models
Conditional Logistic Regression for Paired Binary Data
Comparison of the Mantel-Haenszel Method in Different Software
Comparing Estimates of Independent Meta-Analyses or Subgroups
Convergence Problems with the rma() Function
Handling Missing Data in Output/Figures
Hunter and Schmidt Method
I^2 for Multilevel and Multivariate Models
Model Selection using the glmulti Package
Model Selection using the glmulti and MuMIn Packages
Meta-Regression Models With or Without an Intercept
Models with Multiple Factors and Their Interaction
Multiple Imputation with the mice and metafor Packages
Linear Regression and the Mixed-Effects Meta-Regression Model
A Comparison of the rma.uni() and rma.mv() Functions
A Comparison of the rma() and the lm() and lme() Functions
A Comparison of the rma() and the lm(), lme(), and lmer() Functions
Speeding Up Model Fitting
Testing Factors and Linear Combinations of Parameters
Two-Stage Analysis versus Linear Mixed-Effects Models for Longitudinal Data
Analysis Examples
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tips/comp_mh_different_software.txt
ยท Last modified: 2019/05/05 16:21 by
Wolfgang Viechtbauer
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