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MetaEasy: A Meta-Analysis Add-In for Microsoft Excel

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  • Kontopantelis, Evangelos
  • Reeves, David

Abstract

Meta-analysis is a statistical methodology that combines or integrates the results of several independent clinical trials considered by the analyst to be 'combinable' (Huque'88). However, completeness and user-friendliness are uncommon both in specialised meta-analysis software packages and in mainstream statistical packages that have to rely on user-written commands. We implemented the meta-analysis methodology in an Microsoft (Excel) add-in which is freely available and incorporates more meta-analysis models (including the iterative maximum likelihood and profile likelihood) than are usually available, while paying particular attention to the user-friendliness of the package.

Suggested Citation

  • Kontopantelis, Evangelos & Reeves, David, 2009. "MetaEasy: A Meta-Analysis Add-In for Microsoft Excel," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i07).
    • Handle: RePEc:jss:jstsof:v:030:i07
    DOI: http://hdl.handle.net/10.18637/jss.v030.i07
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    References listed on IDEAS

    as
    1. Ross J. Harris & Michael J. Bradburn & Jonathan J. Deeks & Roger M. Harbord & Douglas G. Altman & Jonathan A. C. Sterne, 2008. "metan: fixed- and random-effects meta-analysis," Stata Journal, StataCorp LP, vol. 8(1), pages 3-28, February.
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    1. repec:jss:jstsof:36:i03 is not listed on IDEAS
    2. Elena Sosa-Cordobés & Juan Diego Ramos-Pichardo & José Luis Sánchez-Ramos & Francisca María García-Padilla & Elia Fernández-Martínez & Almudena Garrido-Fernández, 2022. "How Effective Are Mindfulness-Based Interventions for Reducing Stress and Weight? A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 20(1), pages 1-15, December.
    3. Jonathan Stokes & Maria Panagioti & Rahul Alam & Kath Checkland & Sudeh Cheraghi-Sohi & Peter Bower, 2015. "Effectiveness of Case Management for 'At Risk' Patients in Primary Care: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-42, July.
    4. Wallace, Byron C. & Dahabreh, Issa J. & Trikalinos, Thomas A. & Lau, Joseph & Trow, Paul & Schmid, Christopher H., 2012. "Closing the Gap between Methodologists and End-Users: R as a Computational Back-End," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 49(i05).
    5. Evangelos Kontopantelis & David Reeves, 2010. "metaan: Random-effects meta-analysis," Stata Journal, StataCorp LP, vol. 10(3), pages 395-407, September.

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