doi:10.1177/0962280219889080> and Cai et al. (2021) <doi:10.1177/09622802211047348> for estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis. These methods can be applied to studies that report the sample median, sample size, and one or both of (i) the sample minimum and maximum values and (ii) the first and third quartiles. The corresponding standard error estimators described by McGrath et al. (2023) <doi:10.1177/09622802221139233> are also included.">

estmeansd: Estimating the Sample Mean and Standard Deviation from Commonly Reported Quantiles in Meta-Analysis (original) (raw)

Implements the methods of McGrath et al. (2020) <doi:10.1177/0962280219889080> and Cai et al. (2021) <doi:10.1177/09622802211047348> for estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis. These methods can be applied to studies that report the sample median, sample size, and one or both of (i) the sample minimum and maximum values and (ii) the first and third quartiles. The corresponding standard error estimators described by McGrath et al. (2023) <doi:10.1177/09622802221139233> are also included.

Version: 1.0.1
Imports: graphics, grDevices, metaBLUE, stats
Published: 2023-12-14
DOI: 10.32614/CRAN.package.estmeansd
Author: Sean McGrath ORCID iD [aut, cre], XiaoFei Zhao [aut], Russell Steele [aut], Andrea Benedetti ORCID iD [aut]
Maintainer: Sean McGrath <sean.mcgrath at mail.mcgill.ca>
BugReports: https://github.com/stmcg/estmeansd/issues
License: GPL (≥ 3)
URL: https://github.com/stmcg/estmeansd
NeedsCompilation: no
Materials: README, NEWS
In views: MetaAnalysis
CRAN checks: estmeansd results

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