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A screenshot of MetaXL’s forest plot output.
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Description
Meta-analysis is a statistical method to combine the
results of epidemiological studies in order to increase power. Basically, it produces a weighted average of the included studies results.
The goal of MetaXL is twofold. The first is to make
high quality meta-analysis methods easily accessible for people without access to statistical packages such as
Stata™ or SAS™, or to commercial specialized software such as MIX™ or Comprehensive Meta-analysis™. The second is to make available and promote the use of the quality effects model as an alternative to the random effects model. Much of the heterogeneity between study results is explained by differences in study quality, and it is preferable to address this explicitly.
Using Excel as a platform makes MetaXL-based
meta-analysis highly accessible. And you can’t beat the price!
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Features
Supports fixed effects (inverse variance, Mantel
Haenszel, Peto), random effects (DerSimonian & Laird) and quality effects (Doi & Thalib) models.
Both binary (relative risk, odds ratio, risk difference, prevalence) and continuous
(weighted mean difference, Cohen’s d, Hedges’ g, Glasss’s Δ) methods.
Heterogeneity statistics: Cochran’s Q, I2.
Output in table and graphical formats.
Various import and export formats.
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Product Summary
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MetaXL is an add-in for meta-analysis in Microsoft Excel. It supports all
major meta-analysis methods, plus, uniquely, the quality effects model. Output is in table and graphical formats.
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Price: Free
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Download
MetaXL version 1.0
MetaXL User Guide
The User Guide is included in
the installation download.
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Workshop on Health Economic Evaluation
The Centre for Burden of Disease and
Cost-Effectiveness, School of Population Health, University of Queensland, conducts an annual five-day workshop on Health Economic Evaluation, featuring MetaXL for meta-analysis.
For details go to the Centre’s website.
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