在Microsoft Excel中掌握元分析使用MetaXL附加程序:一个全面的教程和元分析指南
1Department of Medical Education, Hamad Medical Corporation, Doha, Qatar.
Journal of evaluation in clinical practice
|October 3, 2024
概括
这个教程展示了MetaXL,一个免费的Excel插件,用于简化元分析. 它通过常见的效果大小和模型指导研究人员,使复杂的数据合成更容易获得出版物.
科学领域:
- 生物统计学 生物统计学
- 证据综合 证据综合
- 医疗信息学 医疗信息学
背景情况:
- 超分析增强了统计能力,但由于解释的复杂性和软件要求,它面临采用障碍.
- 免费的Excel附加程序MetaXL通过提供对元分析的综合支持来解决这些挑战.
- 该工具旨在简化流程并促进对元分析结果的发布.
研究的目的:
- 提供使用MetaXL合成元分析证据的实用教程.
- 为了说明MetaXL的应用,重点关注常见的效果大小及其呈现.
- 引导研究人员有效地利用MetaXL进行研究.
主要方法:
- 重新引入MetaXL功能,并解释在元分析中使用的常见效果大小.
- 讨论基本概念:选择聚合效应大小和选择元分析模型.
- 介绍了八个不同的例子,涵盖了各种效果大小 (速率比率,平均差异,危险比率,流行率) 和数据格式,包括网络元分析的实施.
主要成果:
- MetaXL为不同的数据类型和效果大小提供数据格式化模板.
- 该教程涵盖了发病率比率,加权和标准化平均差异,危险比率和流行率的实际例子.
- 在MetaXL中展示了网络元分析概念的实施.
结论:
- 本教程为研究人员,特别是那些资源有限的研究人员,提供了关于聚合效应大小的见解.
- 它在MetaXL附加程序中引入了新的Excel函数,用于增强的元分析.
- 准确的数据输入和对格式的遵守对于使用MetaXL进行无错分析至关重要.
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