ProMeta 3.0 is a professional statistical software for conducting meta-analysis. It is based on ProMeta 2.1 deployed by Internovi in 2015. All main featured are deployed.

**ProMeta 3.0 is now available for free!**

## Features

- USER-FRIENDLINESS: Use of ProMeta is very intuitive and simple
- COMPLETENESS: ProMeta offers several tools for dealing effectively with complex meta-analytic data (e.g., multiple data entry formats, subgroups, comparisons, waves, and outcomes)
- HIGH RESOLUTION PLOT: ProMeta adopts the new software C.I.P. (Confidence Interval Plotter) to realize personalized very high quality graphs.

Both the researcher who approaches the meta-analysis for the first time and the expert meta-analyst will find in ProMeta an excellent instrument for performing their meta-analytic reviews.

### Innovative graphic interface

ProMeta is a software extremely intuitive. It does not present the usual spreadsheet typical of many statistical packages but it is organized with an innovative graphic interface. Commands are very easy: you just need to right-click on variables or drag and drop them to prepare your project.

### A new way of saving data

A true innovation of ProMeta is the system used for saving data and analyses. ProMeta has an integrated relational database so it does not need external files. This means that every time you work on a meta-analysis, it is automatically updated and available for your next use. Furthermore, ProMeta offers tools for exporting your meta-analysis to file and for importing it in other computers.

## Solutions for complex data structures

Main problems that most researchers have to face when they conduct their meta-analytic reviews are represented by the heterogeneity of primary studies. Researchers might have to manage data of multiple subgroups, comparisons, waves, and/or outcomes reported in each primary study. Furthermore, data formats could vary from one study to the other making even more difficult to synthesize them.

If you are “struggling” with complex data structures, do not panic! ProMeta offers several tools for managing these situations.

### Subgroups, comparisons, waves, and/or outcomes

In ProMeta you can easily define multiple subgroups, comparisons, waves, and/or outcomes and assign them to studies in which they are reported.

### Data entry types and effect sizes

In ProMeta you can select, for each study, its own data entry type. You can choose among a large array of options.

#### Various types of data:

- means
- correlations (Pearson’s, Kendall’s Tau, and Spearman’s Rho)
- binary data
- survival data (Hazard ratio)
- incidence rates

#### Various types of design:

- design with independent groups or matched groups
- cross-sectional or longitudinal designs

#### Numerous data entry types

ProMeta offers numerous formats for entering data. You just have to choose the format corresponding to the data reported in primary studies. When you are uncertain, ProMeta helps you! In fact, within each data entry type the order of presentation of the data formats reflects precision of effect size computations, guiding your choice.

#### Several types of effect sizes

When you enter your data, ProMeta computes an effect size and automatically converts it in other effect size formats. You can choose among the following effect sizes:

- Cohen’s d
- Hedges’s d
- Unstandardized means difference
- Pearson’s correlation
- Fisher’s Z
- Odds ratio
- Ln odds ratio
- Peto odds ratio
- Ln Peto odds ratio
- Risk ratio
- Ln risk ratio
- Risk difference
- Rate ratio
- Ln rate ratio
- Rate difference
- Hazard ratio
- Ln hazard ratio

## Flexible moderators

In ProMeta you can define three types of moderators: categorical, numerical decimal, and numerical integer moderators. Moderators are flexible, that means they can be treated as study-level, subgroup-level, comparison-level, wave-level, or outcome-level moderators. Furthermore, ProMeta offers efficient tools for recoding both categorical and numerical moderators.

## Few clicks for running analyses

After data entry, you can easily define your plan of analyses:

- choose the computational model for analysis: fixed-effect model or random-effects model or both models
- choose the effect size type
- choose computational options for publication bias and moderator analyses
- select studies to be include in the analyses
- manage multiple subgroups, comparisons, waves, and/or outcomes

You just have to click “Save and Run” and in few seconds ProMeta will run all the analyses:

- results for each study
- overall effect size
- heterogeneity analysis
- sensitivity analysis
- cumulative meta-analysis
- moderator analysis (categorical and numerical moderators)
- publication bias analysis (funnel plot, trim and fill, Egger’s linear regression test, Begg and Mazumdar’s rank correlation test, fail safe N)

When you manage complex data structures, ProMeta reports in the Pre-analysis results of tests of differences between subgroups, comparisons, waves, and/or outcomes. These preliminary analyses provides information that can be useful for deciding whether or not combining subgroups, comparisons, waves, and outcomes.

If you want to analyze subgroups, comparisons, waves, and/or outcomes separately it is extremely easy. You can define and save as many projects as you want, analyzing in each of them your variables of interest.

## High-quality graphs

ProMeta offers three high-quality graphs that you can easily export in PNG and include in your publication. In ProMeta, every graph uses the “Smart Resizing” system through which you can easily model graphs according to your preferences.

### Forest plots with C.I.P.

Forest plots are used to visualize results of various analyses (i.e., summary statistics for each study and overall results, sensitivity analyses, cumulative analyses, categorical moderator analyses). Thanks to the new software C.I.P. to obtain personalized high quality graphs has never been so easy!

### Scatterplots

Scatterplots are used to visualize results of numerical moderator analyses (i.e., meta-regressions)

### Funnel plots

Funnel plots are used to visualize results of publication bias analyses

## Self-training

ProMeta is an extremely intuitive software. You can just take a look at the materials below to familiarize with ProMeta’s features.

**ProMeta Manual**: reading the manual you will learn how to use ProMeta navigating through some practical meta-analytic examples. You will follow a step-by-step approach: you will start with a simple example to understand the basic features of ProMeta; then you will move to other two examples to learn how to deal with complex meta-analytic projects

ProMeta 3 User Manual (4346 downloads)

## Requirements

ProMeta is a software developed in Java and can run on multiple operating systems:

- Mac OS-X
- Microsoft Windows
- Linux

More generally, ProMeta can run on every system that supports Java.

The only prerequisite for installing ProMeta is to have an updated version of Java. Java is developed by Oracle and is free of charge (www.java.com).

#### Java versions supported

- Java 8, the current version of Java.

_{*(Java 9 will be released in a few months, probably will come a ProMeta update in case there were compatibility issues. The last version of ProMeta was compiled with the version 1.8.0_91 of Java).}

## Free Download

## FAQ

### On Apple OS-X

#### Can I use ProMeta on my MAC?

`Sure. Why not?`

#### ProMeta doesn’t run: unidentified developer error

Is this the error?

“ProMeta can’t be opened because it is from an unidentified developer”

It’s normal. Right-Click on the application file and start it. The next time you start ProMeta normally.

### On Tablet

#### Can I use ProMeta on my IPad?

IPad does not support Java Oracle, so you can not install Java and therefore can not use ProMeta. Some people have tried to use Java on iPad through jailbreaking operations (similar to rooting on Android); However, we do not recommend such operations.

#### Can I use ProMeta on Tablet?

If you can install Java Oracle, you can use ProMeta.

### Using ProMeta

#### Can I export graphs as images ( jpg , png , etc.) ?

Yes of course . You can export the forest-plots, scatter-plots and the funnel-plots in .png format via the menu. Consult the manual for more information .

#### Why the Effect size template is not added to the study ?

You dragged an Effect size template in the study but did not appear anything?

Check that you have added the outcome to the study. Like all other elements also the outcome must be dragged. Drag the outcome from the variables window into the study. Now try dragging the effect -size template and you’re done .

#### I do not remember where I stored the files…

Each ProMeta project (“TOPIC”) is automatically saved in an internal database. Just open it with “OT” button at the top left. Consult the manual in order to export topic in file format or to perform automatic backups.