ESMARConf2023: {estmeansd} tutorial
Автор: ESMARConf
Загружено: 2023-03-30
Просмотров: 106
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Presenter: Sean McGrath
Authors: McGrath, Sean; Zhao, XiaoFei; Steele, Russell; Benedetti, Andrea
Session: Tutorials 8
Title: estmeansd: An R package for estimating means and standard deviations from studies reporting medians in meta-analysis
Abstract: Standard methods for performing an aggregate data meta-analysis of a continuous outcome often assume that the primary studies report estimates of the mean and standard deviation of the outcome. However, some primary studies may instead report the sample median of the outcome along with other quantiles, such as the first and third quartiles and/or the minimum and maximum values. To address this issue, several statistical methods have been recently developed to estimate the mean and standard deviation of the outcome from the sample median and other quantiles. In this talk, we present the estmeansd R package, which implements several methods for estimating means and standard deviations from studies reporting medians. We describe the key features of the package and apply it on a simple example.
GitHub repository: https://github.com/stmcg/estmeansd
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