为什么要使用CMA软件？
对于研究人员
该程序非常易于学习和使用。界面清晰直观。交互式指南将引导您完成分析中的所有步骤。您可以在启动程序后的几分钟内提高工作效率。
对于统计学家
该计划是与美国和英国许多公认的荟萃分析领域专家合作开发的。它包括用于数据输入、分析和显示的各种复杂选项。
对于学术导师
有了这个程序，荟萃分析的逻辑就活了过来。使用该程序来演示概念性问题，例如研究权重对综合效应的影响、异质性的影响以及固定效应与随机效应模型。
对于研究生
在 15 分钟内执行基本分析。创建并导出绘图以用作结果的框架，然后使用该程序来充分理解分析的逻辑。
由专家团队设计
"Comprehensive Meta‐Analysis is an indispensable tool for efficient problem solving in meta‐analyses. Regardless of whether or not you are a statistician, the software leads you to the world of meta‐analysis quickly. Comprehensive Meta‐Analysis is extremely easy to use and understand and it is a terrific product."
Dr. Takeharu Yamanaka - Cancer Biostatistics Laboratory, National Kyushu Cancer Center, Japan
"I have now used Comprehensive Meta‐Analysis in five meta‐analyses and highly recommend it. Its structure and accompanying resources particularly assist researchers with clinical rather than statistical backgrounds to avoid important errors in data entry and analysis. Comprehensive Meta‐Analysis enables meta‐analysis methods recommended by leading statisticians and meta‐analysts to be used by researchers internationally."
Dr. Catherine Sherrington - Senior Research Fellow, The George Institute for Global Health, The University of Sydney, Australia
"I have used Comprehensive Meta‐Analysis for the past six years in my research activities. It has become a part of my research life. I use it for literature review, to compare and contrast differences in findings, and to search for insight in empirical studies. Comprehensive Meta‐Analysis helps me enhance my research productivity, efficiency, and quality."
Cody Ding - University of Missouri‐St. Louis
"Comprehensive Meta‐Analysis (CMA) is a must‐have tool for academic instructors, researchers, and statisticians alike. Developed by a strong team of highly recognized experts in the field, CMA meets all of your meta‐analysis needs and is easy to teach and easy to use. I would not attempt to ever conduct another meta‐analysis without using the CMA program, for the difference is between heaven and earth!"
Guili Zhang, Ph.D. - Asst. Professor of Research Methodology, Department of Curriculum and Instruction Editor, Journal of Curriculum and Instruction, Chair, American Educational Research Association Quantitative Dissertation Award Committee Project Director, IGERT Assessment Project, East Carolina University, Greenville, NC
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。