metaBLUE:BLUE for Combining Location and Scale Information in a
Meta-Analysis
The sample mean and standard deviation are two commonly used statistics in meta-analyses, but some trials use other
summary statistics such as the median and quartiles to report
the results. Therefore, researchers need to transform those
information back to the sample mean and standard deviation.
This package implemented sample mean estimators by Luo et al.
(2016) <arXiv:1505.05687>, sample standard deviation estimators
by Wan et al. (2014) <arXiv:1407.8038>, and the best linear
unbiased estimators (BLUEs) of location and scale parameters by
Yang et al. (2018, submitted) based on sample quantiles derived
summaries in a meta-analysis.
