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

Novel method to unbiasedly include studies with Non-statistically Significant Unreported Effects (NSUEs) in a meta-analysis. First, the function calculates the interval where the unreported effects (e.g., t-values) should be according to the threshold of statistical significance used in each study. Afterward, the method uses maximum likelihood techniques 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, it conducts a restricted-maximum likelihood random-effects meta-analysis separately for each set of imputations, and it performs estimations from these meta-analyses. Please read the reference in 'metansue' for details of the procedure.

Version:	2.6
Published:	2024-08-22
DOI:	10.32614/CRAN.package.metansue
Author:	Joaquim Radua [aut, cre]
Maintainer:	Joaquim Radua <quimradua at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Citation:	metansue citation info
Materials:	NEWS
In views:	MetaAnalysis, MissingData
CRAN checks:	metansue results

Documentation:

Reference manual:

metansue.pdf

Downloads:

Package source:	metansue_2.6.tar.gz
Windows binaries:	r-devel: metansue_2.6.zip, r-release: metansue_2.6.zip, r-oldrel: metansue_2.6.zip
macOS binaries:	r-release (arm64): metansue_2.6.tgz, r-oldrel (arm64): metansue_2.6.tgz, r-release (x86_64): metansue_2.6.tgz, r-oldrel (x86_64): metansue_2.6.tgz
Old sources:	metansue archive

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