关于元分析的论文
本页的论文是 2021 年 Wiley 的 Meta-Analysis © 导论中的章节,经出版商许可使用。有关详细信息,请参阅 www.Introduction-to-meta-analysis.com。
固定效应模型与随机效应模型 meta分析的异质性综合 荟萃分析
综合荟萃分析(CMA)是一个功能强大的荟萃分析计算机程序。该程序将易用性与广泛的计算选项和复杂的图形相结合。
全面的元分析
"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