Arbeiten zur Meta-Analyse
Die Artikel auf dieser Seite sind Kapitel aus Introduction to Meta-Analysis, © 2021 Wiley, und werden mit Genehmigung des Herausgebers verwendet. Weitere Informationen finden Sie unter www.Introduction-to-meta-analysis.com.
Warum eine Meta-Analyse durchführen?
So funktioniert eine Meta-Analyse
Wann ist es sinnvoll, eine Meta-Analyse durchzuführen?
Modelle mit festem Effekt im Vergleich zu Modellen mit zufälligen Effekten Heterogenität in der Meta-Analyse- Ein intuitiver Blick auf Heterogenität
- Klassifizierung der Heterogenität als niedrig, mittel oder hoch
- Vorhersage-Intervalle
Umfassende Software für die Meta-Analyse
Umfassende Meta-Analyse
Comprehensive Meta-Analysis (CMA) ist ein leistungsstarkes Computerprogramm für Meta-Analysen. Das Programm verbindet Benutzerfreundlichkeit mit einer breiten Palette von Berechnungsoptionen und anspruchsvollen Grafiken.
Umfassende Meta-Analyse
"I have really enjoyed using the CMA software. Comprehensive Meta‐Analysis makes performing a metaanalysis incredibly straightforward. There are numerous options for data analysis and presentation of results. The software was easy to learn, the tutorials were truly useful, and the staff at CMA were always helpful. My meta‐analysis using your software has recently been published – Calcif Tissue Int. 2010 Sep;87(3):193‐202. Epub 2010 Jun 15."
Dr. Emily Dodwell, MD, FRCSC - Clinical Fellow, Orthopedic Surgery, Hospital for Sick Children, Toronto
"I first encountered Comprehensive Meta‐Analysis in an online course in the basics of the statistical technique. The software was intuitive and easy to learn, and it has features that go well beyond the basics. The ability to handle multiple types of data and the comprehensive set of analyses available should satisfy even the most demanding research requirements."
Scott Segal, MD, MHCM
"I have used Comprehensive Meta‐Analysis since I was a student and it has been the basis for dozens of meta‐analysis publications since then. The strengths of the software include its intuitive approaches to statistical issues, ease of use, and clear presentation of the data. Journals appreciate that important changes in figures can be made rapidly and clearly. This has also been an excellent tool for teaching students and colleagues about conducting meta‐analysis ‐ students enjoy the clarity of presentation and ease of use. With all the ease of use, it is important to note that the software allows a variety of statistical approaches that may be difficult to implement in other software, from choices of metaregression effects to presentations of heterogeneity. For my group, this software is indispensable."
Edward Mills PhD, MSc