metansue: Meta-Analysis of Studies with Non Statistically-Significant Unreported Effects

A novel meta-analytic method that allows an unbiased inclusion of studies with Non Statistically-Significant Unreported Effects (NSUEs). Briefly, the method first calculates the interval where the unreported effects (e.g. t-values) should be according to the threshold of statistical significance used in each study. Afterwards, maximizing likelihood techniques are used to impute the expected effect size of each study with NSUEs, accounting for between-study heterogeneity and potential covariates. Multiple imputations of the NSUEs are then randomly created based on the expected value, variance and statistical significance bounds. Finally, a restricted-maximum likelihood random-effects meta-analysis is separately conducted for each set of imputations, and estimations from these meta-analyses are pooled. Please read the reference in 'meta.nsue' for details of the procedure.

AuthorJoaquim Radua
Date of publication2016-09-01 13:20:00
MaintainerJoaquim Radua <>

View on CRAN


coef.meta.nsue Man page
fitted.meta.nsue Man page
forest Man page
forest.meta.nsue Man page
funnel Man page
funnel.meta.nsue Man page
leave1out Man page
leave1out.nsue Man page
linearHypothesis Man page
linearHypothesis.meta.nsue Man page
linearHypothesis.meta.nsue Man page
meta Man page
metabias Man page
metabias.meta.nsue Man page
metalm Man page
metalm.meta.nsue Man page
meta.nsue Man page
plot.meta.nsue Man page
print.leave1out.nsue Man page
print.meta.nsue Man page
print.nsue Man page
residuals.meta.nsue Man page
r_in_smd_from_t_means_and_sds1 Man page
r_in_smd_from_t_means_and_sds2 Man page
smc_from_t Man page
smd_from_t Man page
subset.meta.nsue Man page
summary.leave1out.nsue Man page
summary.meta.nsue Man page
z_from_r Man page

Questions? Problems? Suggestions? or email at

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.