MA-Cont:Pre/Post Effect Size--An Interactive Tool for the Meta-Analysis of Continuous Outcomes Using R Shiny

Autor/inn/en	Papadimitropoulou, Katerina; Riley, Richard D.; Dekkers, Olaf M.; Stijnen, Theo; le Cessie, Saskia
Titel	MA-Cont:Pre/Post Effect Size--An Interactive Tool for the Meta-Analysis of Continuous Outcomes Using R Shiny
Quelle	In: Research Synthesis Methods, 13 (2022) 5, S.649-660 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Papadimitropoulou, Katerina)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1759-2879
DOI	10.1002/jrsm.1592
Schlagwörter	Effect Size; Meta Analysis; Evidence; Medicine; Statistical Analysis; Open Source Technology; Data; Research Problems + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Evidenz; Medizin; Statistische Analyse; Daten; Forschungskritik
Abstract	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. 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. 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. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01