General Package for Meta-Analysis
Description
User-friendly general package providing standard methods for meta-analysis and supporting Schwarzer, Carpenter, and Rücker , "Meta-Analysis with R" (2015):
- common effect and random effects meta-analysis;
- several plots (forest, funnel, Galbraith / radial, L'Abbe, Baujat, bubble);
- three-level meta-analysis model;
- generalised linear mixed model;
- logistic regression with penalised likelihood for rare events;
- Hartung-Knapp method for random effects model;
- Kenward-Roger method for random effects model;
- cluster-robust variance estimators for univariate random effects and three-level models;
- prediction interval and density of the prediction distribution;
- expected proportion of comparable studies with clinically important benefit or harm;
- statistical tests for funnel plot asymmetry;
- trim-and-fill method to evaluate bias in meta-analysis;
- meta-regression;
- cumulative meta-analysis and leave-one-out meta-analysis;
- import data from 'RevMan Web' and 'RevMan 5';
- produce forest plot summarising several (subgroup) meta-analyses.