Revisited version of MetaNSUE, a novel metaanalytic method that allows an unbiased inclusion of studies with Non StatisticallySignificant Unreported Effects (NSUEs). Briefly, the method first calculates the interval where the unreported effects (e.g. tvalues) should be according to the threshold of statistical significance used in each study. Afterwards, maximum likelihood techniques are used to impute the expected effect size of each study with NSUEs, accounting for betweenstudy 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 restrictedmaximum likelihood randomeffects metaanalysis is separately conducted for each set of imputations, and estimations from these metaanalyses are pooled. Please read the reference in 'metansue' for details of the procedure.
Package details 


Author  Joaquim Radua 
Date of publication  20170721 15:34:56 UTC 
Maintainer  Joaquim Radua <jradua@fidmag.com> 
License  GPL3 
Version  2.0 
Package repository  View on CRAN 
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