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.

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Description file content

Package
metaBLUE
Title
BLUE for Combining Location and Scale Information in a Meta-Analysis
Version
1.0.0
Description
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) , sample standard deviation estimators by Wan et al. (2014) , 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.
Depends
R (>= 3.3)
Imports
stats, Matrix
License
GPL-2
Encoding
UTF-8
LazyData
true
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2018-05-27 22:53:23 UTC; HP-PC
Author
Xin Yang [cre, aut], Alan Hutson [aut], Dongliang Wang [aut]
Maintainer
Xin Yang
Repository
CRAN
Date/Publication
2018-05-29 08:30:49 UTC

install.packages('metaBLUE')

1.0.0

11 months ago

Xin Yang

GPL-2

Depends on

R (>= 3.3)

Imports

stats, Matrix

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