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EasyMA: a program for the meta-analysis of clinical trials
M Cucherat1, J P Boissel, A Leizorovicz
1Service de Pharmacologie Clinique, Hôpital cardiologique, Lyon, France. Michel.Cucherat@upcl.univ-lyon1.fr
Computer Methods and Programs in Biomedicine
|July 1, 1997
Summary
This study introduces a user-friendly software program to aid medical researchers in performing meta-analyses of clinical trial data. The program supports various statistical methods for dichotomous outcomes, enhancing therapeutic evaluation research.
Area of Science:
- Clinical Research
- Biostatistics
- Medical Informatics
Background:
- Meta-analysis is crucial for therapeutic evaluation in clinical research.
- Standard statistical packages often lack specialized methods for meta-analysis.
- Specific software developments are needed to support complex meta-analytic techniques.
Purpose of the Study:
- To describe a new software program designed for medical researchers.
- To facilitate meta-analyses of clinical trial data with dichotomous outcomes.
- To provide a user-friendly tool for advanced meta-analytic procedures.
Main Methods:
- The program incorporates diverse statistical methods for meta-analysis.
- It enables cumulative meta-analysis and subgroup analysis.
- Features include a robustness index, data editing, and data manipulation capabilities.
Main Results:
- The software offers comprehensive tools for meta-analysis of dichotomous outcomes.
- Results can be presented in both tabular and graphical formats.
- The program is designed with a user-friendly interface for accessibility.
Conclusions:
- This software enhances the ability of medical researchers to conduct rigorous meta-analyses.
- It democratizes access to advanced statistical techniques for clinical trial evaluation.
- The tool supports informed therapeutic decision-making through robust data synthesis.