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!
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.
Subgroup analysis
Multiple category pooled prevalence
Output in table and graphical formats.
Product Summary
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.
The User Guide is included in the installation download.
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.
