Papadimitropoulou, K, Riley, RD, Dekkers, OM, Stijnen, T and le Cessie, S (2022) MA-cont:pre/post effect size: An interactive tool for the meta-analysis of continuous outcomes using R Shiny. Research Synthesis Methods. ISSN 1759-2887

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Meta-analysis is a widely used methodology to combine evidence from different sources examining a common research phenomenon, to obtain a quantitative summary of the studied phenomenon. In the medical field, multiple studies investigate the effectiveness of new treatments and meta-analysis is largely performed to generate the summary (average) treatment effect. In the meta-analysis of aggregate continuous outcomes measured in a pretest-posttest design using differences in means as the effect measure, a plethora of methods exist: analysis of final (follow-up) scores, analysis of change scores and analysis of covariance (ANCOVA). Specialised and general purpose statistical software is used to apply the various methods, yet, often the choice among them depends on data availability and statistical affinity. We present a new web-based tool, MA-cont:pre/post effect size, to conduct meta-analysis of continuous data assessed pre- and post-treatment using the aforementioned approaches on aggregate data and a more flexible approach of generating and analysing pseudo individual participant data (IPD). The interactive web environment, available by R Shiny, is used to create this free-to-use statistical tool, requiring no programming skills by the users. A basic statistical understanding of the methods running in the background is a prerequisite and we encourage the users to seek advice from technical experts when necessary. This article is protected by copyright. All rights reserved.

Item Type: Article
Additional Information: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.© 2022 The Authors. Research Synthesis Methods published by John Wiley & Sons Ltd.
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Medicine and Health Sciences > School of Medicine
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Depositing User: Symplectic
Date Deposited: 05 Aug 2022 13:24
Last Modified: 05 Aug 2022 13:24

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