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

<h3>Rationale</h3><p dir="ltr">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 speci...

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Main Author: Ibrahim Elmakaty (14614270) (author)
Published: 2024
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author Ibrahim Elmakaty (14614270)
author_facet Ibrahim Elmakaty (14614270)
author_role author
dc.creator.none.fl_str_mv Ibrahim Elmakaty (14614270)
dc.date.none.fl_str_mv 2024-10-02T03:00:00Z
dc.identifier.none.fl_str_mv 10.1111/jep.14138
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Mastering_meta_analysis_in_Microsoft_Excel_with_MetaXL_add_in_A_comprehensive_tutorial_and_guide_to_meta_analysis/30024283
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Health sciences
Epidemiology
Public health
Mathematical sciences
Statistics
mean difference
meta‐analysis
MetaXL
network meta‐analysis
prevalence
ratios
dc.title.none.fl_str_mv Mastering meta‐analysis in Microsoft Excel with MetaXL add‐in: A comprehensive tutorial and guide to meta‐analysis
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <h3>Rationale</h3><p dir="ltr">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.</p><h3>Aims and Objectives</h3><p dir="ltr">This tutorial illustrates the practical application of MetaXL for synthesizing meta‐analytical evidence, with a focus on common effect sizes and their presentation.</p><h3>Method</h3><p dir="ltr">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.</p><h3>Results and Conclusion</h3><p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Evaluation in Clinical Practice<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1111/jep.14138" target="_blank">https://dx.doi.org/10.1111/jep.14138</a></p>
eu_rights_str_mv openAccess
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identifier_str_mv 10.1111/jep.14138
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/30024283
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spelling Mastering meta‐analysis in Microsoft Excel with MetaXL add‐in: A comprehensive tutorial and guide to meta‐analysisIbrahim Elmakaty (14614270)Health sciencesEpidemiologyPublic healthMathematical sciencesStatisticsmean differencemeta‐analysisMetaXLnetwork meta‐analysisprevalenceratios<h3>Rationale</h3><p dir="ltr">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.</p><h3>Aims and Objectives</h3><p dir="ltr">This tutorial illustrates the practical application of MetaXL for synthesizing meta‐analytical evidence, with a focus on common effect sizes and their presentation.</p><h3>Method</h3><p dir="ltr">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.</p><h3>Results and Conclusion</h3><p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Evaluation in Clinical Practice<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1111/jep.14138" target="_blank">https://dx.doi.org/10.1111/jep.14138</a></p>2024-10-02T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1111/jep.14138https://figshare.com/articles/journal_contribution/Mastering_meta_analysis_in_Microsoft_Excel_with_MetaXL_add_in_A_comprehensive_tutorial_and_guide_to_meta_analysis/30024283CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300242832024-10-02T03:00:00Z
spellingShingle Mastering meta‐analysis in Microsoft Excel with MetaXL add‐in: A comprehensive tutorial and guide to meta‐analysis
Ibrahim Elmakaty (14614270)
Health sciences
Epidemiology
Public health
Mathematical sciences
Statistics
mean difference
meta‐analysis
MetaXL
network meta‐analysis
prevalence
ratios
status_str publishedVersion
title Mastering meta‐analysis in Microsoft Excel with MetaXL add‐in: A comprehensive tutorial and guide to meta‐analysis
title_full Mastering meta‐analysis in Microsoft Excel with MetaXL add‐in: A comprehensive tutorial and guide to meta‐analysis
title_fullStr Mastering meta‐analysis in Microsoft Excel with MetaXL add‐in: A comprehensive tutorial and guide to meta‐analysis
title_full_unstemmed Mastering meta‐analysis in Microsoft Excel with MetaXL add‐in: A comprehensive tutorial and guide to meta‐analysis
title_short Mastering meta‐analysis in Microsoft Excel with MetaXL add‐in: A comprehensive tutorial and guide to meta‐analysis
title_sort Mastering meta‐analysis in Microsoft Excel with MetaXL add‐in: A comprehensive tutorial and guide to meta‐analysis
topic Health sciences
Epidemiology
Public health
Mathematical sciences
Statistics
mean difference
meta‐analysis
MetaXL
network meta‐analysis
prevalence
ratios