Mastering meta-analysis in Microsoft Excel with MetaXL add-in: A comprehensive tutorial and guide to meta-analysis.

IF 2.1 4区 医学 Q3 HEALTH CARE SCIENCES & SERVICES
Ibrahim Elmakaty
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引用次数: 0

Abstract

Rationale: Meta-analysis, a powerful technique for combining effect estimates from multiple studies, enhances statistical power and precision. However, its adoption can be hindered by challenges in statistical interpretation and the complexity of specialized software. MetaXL, a freely available Microsoft Excel add-in, aims to mitigate these barriers by providing comprehensive support and facilitating seamless integration of meta-analytical results into research publications.

Aims and objectives: This tutorial illustrates the practical application of MetaXL for synthesizing meta-analytical evidence, with a focus on common effect sizes and their presentation.

Method: This paper reintroduce MetaXL's functions and provide concise explanations of common effect sizes employed in meta-analysis. The tutorial delves into fundamental concepts such as the selection of appropriate effect sizes for pooling and the choice of meta-analytical models. Eight illustrative examples are presented, incorporating diverse effect sizes and data formats, including scenarios involving incidence rate ratios, weighted and standardized mean differences, hazard ratios, and prevalence. Additionally, key concepts in network meta-analysis are discussed, along with their implementation in MetaXL. MetaXL provides convenient access to data formatting templates tailored to various data types and effect sizes encountered in included studies.

Results and conclusion: This tutorial offers researchers, particularly those with limited resources, detailed explanations and insights into commonly used methodologies for pooling effect sizes. Furthermore, it introduces the new Excel functions that comes with the MetaXL add-in. Accurate population of this function and adherence to the correct format are essential to ensure error-free analyzes.

利用 MetaXL 附加组件掌握 Microsoft Excel 中的荟萃分析:荟萃分析综合教程和指南。
理由荟萃分析是一种将多项研究的效果估计值结合起来的强大技术,可提高统计能力和精确度。然而,统计解释方面的挑战和专业软件的复杂性可能会阻碍其应用。MetaXL是一款免费提供的Microsoft Excel插件,旨在通过提供全面支持和促进将荟萃分析结果无缝整合到研究出版物中来减少这些障碍:本教程说明了 MetaXL 在综合荟萃分析证据方面的实际应用,重点是常见效应大小及其表达方式:本文重新介绍了MetaXL的功能,并对荟萃分析中常用的效应大小进行了简明解释。教程深入探讨了一些基本概念,如选择合适的效应大小进行汇集和选择荟萃分析模型。书中提供了八个示例,结合了不同的效应大小和数据格式,包括涉及发病率比、加权和标准化平均差、危险比和流行率的情况。此外,还讨论了网络荟萃分析的关键概念及其在 MetaXL 中的应用。MetaXL 提供了便捷的数据格式模板访问,这些模板是为纳入研究中遇到的各种数据类型和效应大小量身定制的:本教程为研究人员,尤其是资源有限的研究人员,提供了有关汇集效应大小常用方法的详细解释和见解。此外,它还介绍了 MetaXL 加载项的新 Excel 函数。要确保分析不出差错,必须准确使用该函数并遵守正确的格式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.80
自引率
4.20%
发文量
143
审稿时长
3-8 weeks
期刊介绍: The Journal of Evaluation in Clinical Practice aims to promote the evaluation and development of clinical practice across medicine, nursing and the allied health professions. All aspects of health services research and public health policy analysis and debate are of interest to the Journal whether studied from a population-based or individual patient-centred perspective. Of particular interest to the Journal are submissions on all aspects of clinical effectiveness and efficiency including evidence-based medicine, clinical practice guidelines, clinical decision making, clinical services organisation, implementation and delivery, health economic evaluation, health process and outcome measurement and new or improved methods (conceptual and statistical) for systematic inquiry into clinical practice. Papers may take a classical quantitative or qualitative approach to investigation (or may utilise both techniques) or may take the form of learned essays, structured/systematic reviews and critiques.
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