Robust Meta-Analysis and Meta-Regression
AIC for metaplus object
BIC for metaplus object
log Likelikelihood for metaplus object
Fits random effects meta-analysis models including robust models
Fits random effects meta-analysis models, using either a standard norm...
Calculate outlier probabilities for each study.
Produces forest plot for the studies together with the meta-analysis r...
Plot outlier probabilities.
Summary of a metaplus object.
Tests for the presence of outliers.
Performs meta-analysis and meta-regression using standard and robust methods with confidence intervals based on the profile likelihood. Robust methods are based on alternative distributions for the random effect, either the t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals (Beath, 2014 <doi:10.1002/jrsm.1114>).