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Meta-Analyst: software for meta-analysis of binary, continuous and diagnostic data.

Byron C Wallace¹, Christopher H Schmid, Joseph Lau

¹Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA 02111, USA. bwallace@tuftsmedicalcenter.org

BMC Medical Research Methodology

|December 8, 2009

Summary

This summary is machine-generated.

Meta-Analyst is a new, free software program designed for conducting meta-analyses. It offers a powerful and intuitive interface for various statistical models and study types, enhancing evidence synthesis in clinical practice.

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Area of Science:

Biostatistics
Medical Informatics

Background:

Meta-analysis is crucial for evidence synthesis in clinical practice.
Existing meta-analysis software often lacks comprehensive features or user-friendliness.
Evolving statistical methods necessitate advanced tools for meta-analysis.

Purpose of the Study:

Introduce Meta-Analyst, a novel, free software for meta-analysis.
Provide a powerful, intuitive, and versatile tool for diverse meta-analytic problems.
Combine advantages of existing meta-analysis software into a single program.

Main Methods:

Developed Meta-Analyst using C# on the Microsoft .NET framework with a graphical user interface.
Implemented frequentist and Bayesian models for binary, continuous, diagnostic, and prognostic studies.
Validated numerical precision against Stata and specialized software (MetaDisc, MetaTest).

Main Results:

Meta-Analyst supports a wide range of meta-analysis and meta-regression models.
The software offers flexible customization of meta-analysis graphs (e.g., forest plots).
Output is available in multiple formats, including images, PDF, and RTF.

Conclusions:

A new, validated program for meta-analysis has been developed.
Meta-Analyst integrates the strengths of existing meta-analysis tools.
The software facilitates robust evidence synthesis for clinical practice.