ESMARConf2023: {metamedian} tutorial
Автор: ESMARConf
Загружено: 2023-03-26
Просмотров: 559
Описание:
Presenter: Sean McGrath
Authors: McGrath, Sean; Zhao, XiaoFei; Ozturk, Omer; Katzenschlager, Stephan; Steele, Russell; Benedetti, Andrea
Session: Tutorials 1
Title: metamedian: An R package for meta-analyzing studies reporting medians
Abstract: When performing an aggregate data meta-analysis of a continuous outcome, researchers often come across primary studies that report the sample median of the outcome. However, standard meta-analytic methods typically cannot be directly applied in this setting. In recent years, there has been substantial development in statistical methods to incorporate primary studies reporting sample medians in meta-analysis, yet there are currently no comprehensive software tools implementing these methods. In this talk, we present the metamedian R package, a freely available and open-source software tool for meta-analyzing primary studies that report sample medians. We summarize the main features of the software and illustrate its application through real data examples involving risk factors for a severe course of COVID-19.
GitHub repository: https://github.com/stmcg/metamedian
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