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metansue  

Meta-Analysis of Studies with Non-Statistically Significant Unreported Effects
View on CRAN: Click here


Download and install metansue package within the R console
Install from CRAN:
install.packages("metansue")

Install from Github:
library("remotes")
install_github("cran/metansue")

Install by package version:
library("remotes")
install_version("metansue", "2.6")



Attach the package and use:
library("metansue")
Maintained by
Joaquim Radua
[Scholar Profile | Author Map]
First Published: 2015-11-11
Latest Update: 2022-09-13
Description:
Novel method to unbiasedly include studies with Non-statistically Significant Unreported Effects (NSUEs) in a meta-analysis. First, the method 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, 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 conducts estimations from these meta-analyses. Please read the reference in 'metansue' for details of the procedure.
How to cite:
Joaquim Radua (2015). metansue: Meta-Analysis of Studies with Non-Statistically Significant Unreported Effects. R package version 2.6, https://cran.r-project.org/web/packages/metansue. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0 (2015-11-11 11:54), 1.1 (2016-06-20 20:37), 1.2 (2016-09-01 13:20), 2.0 (2017-07-21 17:34), 2.1 (2018-03-13 18:04), 2.2 (2018-07-11 15:40), 2.3 (2018-12-10 23:20), 2.4 (2020-04-12 11:20), 2.5 (2022-09-13 09:30)
Other packages that cited metansue R package
View metansue citation profile
Other R packages that metansue depends, imports, suggests or enhances
Complete documentation for metansue
Functions, R codes and Examples using the metansue R package
Some associated functions: forest . funnel . leave1out . meta . metabias . nsue . 
Some associated R codes: source.R .  Full metansue package functions and examples
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