DisMod II



Risk factor





Version 5.3

Recent updates:
4.0: Network meta-analysis
5.0: Cumulative meta-analysis
5.3: Meta-regression data

MetaXL’s forest plot output.


MetaXL keeps pushing the envelope of innovation in meta-analysis. Version 1 introduced the quality effects (QE) model, version 2 the inverse variance heterogeneity (IVhet) model, version 3 introduced the Doi plot and LFK index for the detection of publication bias, version 4 added network meta-analysis. Now version 5 adds cumulative meta-analysis to this already rich list of features

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.
There are two main issues with meta-analysis: heterogeneity between studies, and publication bias. Heterogeneity is usually dealt with by employing the random effects (RE) model. However the RE estimator, as explained in the
MetaXL User Guide, underestimates the statistical error and has a larger mean squared error (MSE) than even the fixed effects estimator. It also makes unjustifiable changes to study weights. For these reasons it is seriously flawed and should be abandoned. MetaXL offers two alternatives to the RE model:
1) The IVhet model provides a quasi-likelihood based expansion of the confidence interval around the inverse variance weighted pooled estimate when studies exhibit heterogeneity (without inappropriate changes to individual study weights, as the random effects model does), thus keeping the MSE lower than with the random effects estimator.
2) The QE model allows incorporating information on study quality into the analysis, thereby affording the opportunity for further reduction in estimator MSE beyond that of the IVhet model. Much of the heterogeneity between study results is explained by differences in study quality, and it is preferable to make use of this information explicitly.
More background on these alternatives is in our

Publication bias can occur, among other reasons, because studies with ‘positive’ results are more likely to get published than ones with ‘negative’ results. Traditionally, the funnel plot is used to detect possible publication bias, but this plot is often hard to interpret. MetaXL now offers an alternative, the Doi plot, which is much easier to interpret.

Network meta-analysis can make multiple indirect comparisons, thus allowing to assess a range of treatment options against a common comparator. It is a powerful technique, but it has been held back by complex methods. The MetaXL implementation is powerful, yet very easy to use.

Cumulative meta-analysis allows to analyse how the evidence evolved over time.

Using Excel as a platform makes MetaXL-based meta-analysis highly accessible. And you still can’t beat the price!


IMPORTANT UPDATE -- 04/06/2019

A recent glitch has been discovered whereby two separate sets of studies with the exact same pooled effect size and standard error produce Doi plots and LFK indexes that do not overlap with each other. This is due to an error in the ranking calculation within MetaXL. This glitch only occurs when the same effect size and standard error are observed across different sets of studies.

A Stata ado file has been developed to generate a Doi plot and LFK index without the glitch. This can be accessed by downloading
LFK Stata package The downloaded file contains: (1) a Stata ado file implementing the fix; (2) a Stata help file; and (3) a PDF which describes the problem in full and provides accompanying installation instructions.

Please note that this fix is an alpha version as it only deals with the IOType parameters: ContSE; NumOR; and NumRR.


Supports fixed effects (inverse variance, Mantel Haenszel, Peto), random effects (DerSimonian & Laird), inverse variance heterogeneity (Doi et al) and quality effects (Doi & Thalib) models

Both binary (relative risk, odds ratio, risk difference, prevalence) and continuous (weighted mean mean difference, Cohen’s d, Hedges’ g, Glasss’s Δ, correlations) methods, as well as rates, rate-ratio’s and rate difference effect sizes

Heterogeneity statistics: Cochran’s Q, I2.

Subgroup analysis

Cumulative meta-analysis

Detection of publication bias using Doi and funnel plots

Quantitative measure of publication bias: LFK index

Multiple category pooled prevalence

Indirect comparisons and network meta-analysis

Output in table and graphical formats

Supports both 32 and 64 bit Excel

Product Summary

MetaXL is an add-in for meta-analysis in Microsoft Excel for Windows. It supports all  major meta-analysis methods, plus, uniquely, the inverse variance heterogeneity and quality effects models. Starting with v4.0, it also implements a powerful, yet easy to use way to do network meta-analysis. Output is in table and graphical formats.

Price: Free


MetaXL Setup

MetaXL User Guide
The User Guide is included in the installation download.

MetaXL publications

Guide for Apple Mac users
MetaXL is only compatible with Windows. Options on how to run the MetaXL software on a Mac are provided here.

LFK Stata package
Fix for a glitch in MetaXL which produces incorrect Doi plots and LFK indexes across different sets of studies with the exact same pooled effect size and standard error.

MetaXL queries

Queries about MetaXL should be forwarded to Suhail Doi (

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