Meta-Analysis of Studies with Non Statistically-Significant
Novel method to unbiasedly include studies with Non Statistically-Significant Unreported Effects (NSUEs) in a meta-analysis <10.1001>. 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, maximum 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 'metansue' for details of the procedure.10.1001>
metansue v2.0 (Release date: 2017-07-21)
- Several improvements in robustness. These changes imply that "data" argument is no longer required, that a single hypothesis can be specified in "meta", and that the following functions for "meta.nsue" objects have been removed: "linearHypothesis", "metalm" and "subset".
- Added "subset" function for "nsue" objects.
- Default number of imputations has been increased to 500.
metansue v1.2 (Release date: 2016-08-31)
- Bugs fixed: study labels can be numeric, correlation forest can have no NSUEs.
metansue v1.1 (Release date: 2016-06-20)
- Added "r_in_smd_from_t_means_and_sds" and "subset" functions.
metansue v1.0 (Release date: 2015-11-11)