metansue: Meta-Analysis of Studies with Non Statistically-Significant Unreported Effects
Version 1.2

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 <>
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:

Popular man pages

forest: Forest Plots
funnel: Funnel Plots
leave1out: Compute Leave-One-Out Diagnostics
meta: Meta-Analysis
metabias: Test for Funnel Plot Asymmetry
metalm: Fitting Meta-Analytic Linear Models
meta.nsue: Meta-Analysis of Studies with Non Statistically-Significant...
See all...

All man pages Function index File listing

Man pages

forest: Forest Plots
forest.meta.nsue: Forest Plots for "meta.nsue" Objects
funnel: Funnel Plots
funnel.meta.nsue: Funnel Plots for "meta.nsue" Objects
leave1out: Compute Leave-One-Out Diagnostics
leave1out.nsue: Compute Leave-One-Out Diagnostics for "meta.nsue" Objects
linearHypothesis: Test Linear Hypothesis
linearHypothesis.meta.nsue: Test Linear Hypothesis for "meta.nsue" Objects
meta: Meta-Analysis
metabias: Test for Funnel Plot Asymmetry
metabias.meta.nsue: Test for Funnel Plot Asymmetry for "meta.nsue" Objects
metalm: Fitting Meta-Analytic Linear Models
metalm.meta.nsue: Fitting Meta-Analytic Linear Models for "meta.nsue" Objects
meta.nsue: Meta-Analysis of Studies with Non Statistically-Significant...
smc_from_t: Calculate Effect Sizes for "meta.nsue" Objects


check.alpha Source code Source code
check.formula Source code
check.hypotheses Source code
check.labels Source code
check.n Source code
coef.meta.nsue Man page Source code
d_j Source code
elliptic.q Source code
fitted.meta.nsue Man page Source code
forest Man page Source code
forest.meta.nsue Man page Source code
format.0pos Source code
format.1 Source code
format.1pos Source code
format.2 Source code
format.2pos Source code
format.3 Source code
format.4 Source code
format.4pos Source code
format.measure Source code
format.perc2 Source code
format.prob Source code
format.sign Source code
funnel Man page Source code
funnel.meta.nsue Man page Source code
leave1out Man page Source code
leave1out.nsue Man page Source code
linearHypothesis Man page Source code
linearHypothesis.meta.nsue Man page Man page Source code Source code
meta Man page Source code
meta.nsue Man page Source code Source code
metabias Man page Source code
metabias.meta.nsue Man page Source code
metalm Man page Source code
metalm.meta.nsue Man page Source code Source code
plot.meta.nsue Man page Source code
pool.chi2 Source code
pool.cov Source code
pool.var Source code
print.description Source code
print.heterogeneity_and_model Source code
print.leave1out.nsue Man page Source code
print.meta.nsue Man page Source code
print.nsue Man page Source code
print.sign Source code
r_in_smd_from_sds Source code
r_in_smd_from_t_means_and_sds1 Man page Source code
r_in_smd_from_t_means_and_sds2 Man page Source code Source code
residuals.meta.nsue Man page Source code
signif.up Source code
smc_from_t Man page Source code
smd_from_t Man page Source code
stop Source code
subset.meta.nsue Man page Source code
summary.leave1out.nsue Man page Source code
summary.meta.nsue Man page Source code Source code
tau2.reml Source code
warning Source code
z_from_r Man page Source code


metansue documentation built on May 19, 2017, 6:44 a.m.

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