Meta-Mar is a free online meta-analysis platform for research and education. ✓ Updated 2026
The platform integrates AI assistance to guide users through methodological decisions and interpretation of results. No installation or registration required. The tool supports a wide range of meta-analytic procedures, from basic effect size calculations to advanced heterogeneity assessment and publication bias evaluation. It is designed for researchers, educators, and students across various fields where evidence synthesis is valuable. Meta-Mar was developed with both research and educational purposes in mind. The platform serves as an interactive learning environment where researchers can explore meta-analytic concepts while conducting their analyses. The integrated AI assistant provides context-specific methodological guidance and helps researchers understand the implications of their analytical choices, making it valuable for both experienced researchers and those new to meta-analysis.
In 2025, 5,800+ researchers worldwide used Meta-Mar, with 200+ published papers citing it as their primary meta-analysis tool (Google Scholar).
Used in Academic Teaching
PhD course in meta-analysis — Center for Health Technology Assessment, Semmelweis University, Budapest (January 2026)
~30 concurrent users running real-time analyses with AI guidance tailored to each study.
Core Features
| Capability | Description |
|---|---|
| Methodological Flexibility | Support for various outcome types (continuous, binary, correlations, effect size) and both fixed-effect and random-effects models with multiple estimators (REML, DL, PM, ML, HS, SJ, HE, EB). Implements different calculation methods for confidence intervals (classic, Hartung-Knapp, Kenward-Roger). |
| Visualization Tools | Generates publication-quality forest plots, funnel plots, Galbraith plots, L'Abbe plots, Baujat plots, and bubble plots for meta-regression with customization options for statistical presentation. |
| Heterogeneity Assessment | Calculates heterogeneity statistics including I², τ², and Cochran's Q, with subgroup analysis options to explore sources of variability across studies. |
| Publication Bias | Implements multiple methods for assessing publication bias including Egger's test, trim-and-fill analysis, and fail-safe N calculations (Rosenthal, Orwin, Rosenberg methods). |
| Meta-Regression | Provides tools for exploring relationships between study characteristics and effect sizes through meta-regression analysis with options for continuous and categorical moderators. |
| AI Assistance | Features an interactive AI chatbot that provides methodological guidance, helps with interpretation of statistical outputs, and supports learning about meta-analytic concepts through natural language interaction. Also includes AI-powered report generation for comprehensive summaries of meta-analysis results. |
Case Studies
Meta-Mar Workshop: End-to-end meta-analysis tutorials using real clinical data (e.g., MIMIC-IV). From study design and cohort extraction to statistical analysis and AI-generated interpretation.
Coming soon.
Meta-Mar Privacy Policy
Effective Date: 24.12.2024
Meta-Mar is committed to ensuring user privacy while providing an effective platform for conducting meta-analyses. This policy outlines our data practices regarding user-uploaded data and AI chatbot interactions.
1. Data Collection and Usage
1.1 User-Uploaded Data
- Uploaded datasets (CSV/Excel) are stored only for the duration of the analysis session.
- Data is automatically deleted when the session ends unless you download the results.
- We do not encourage including personally identifiable information in datasets.
1.2 AI Chatbot Interactions
- Text provided to the AI assistant is processed in real-time for generating responses.
- Chat interactions are not stored beyond the user session unless included in a report.
- Automated anonymization is applied to detect and mask potential personal information.
1.3 Analytics Data
- Basic usage analytics help us improve the platform's performance and features.
- You can opt out of non-essential cookies upon accessing the platform.
- We collect only anonymized metadata (e.g., feature usage patterns).
2. Data Security
- All communications use TLS 1.3 encryption (HTTPS).
- Temporary data is encrypted using industry-standard protocols.
- No user data is retained beyond the active session unless explicitly downloaded.
3. User Rights
- Access: You can request information about data stored during your session.
- Deletion: All data is automatically deleted when your session ends.
- Consent: You can decline non-essential cookies and analytics tracking.
4. Contact Information
For privacy inquiries, please contact: contact@meta-mar.com
Meta-Mar Pro
Meta-Mar is a free and open-source platform for meta-analysis research and education. Everyone can run 3 free analyses per month without any subscription. For unlimited access and AI-powered report generation, consider Meta-Mar Pro.
Access Options
Free
- 3 analyses per month
- 3 AI conversations
- All statistical methods
- All plot types
- Demo always available
Resets monthly
Pro Monthly
- Unlimited analyses
- Unlimited AI conversations
- AI-powered reports
- Priority support
30-day access
Student
- Unlimited analyses
- Unlimited AI conversations
- AI-powered reports
- Priority support
Requires .edu email
Pro Annual
- Unlimited analyses
- Unlimited AI conversations
- AI-powered reports
- Priority support
365-day access
How It Works
- Click "Get Pro Access" and complete payment via Stripe
- Receive your unique access token via email
- Enter the token when launching Meta-Mar
- Enjoy unlimited Pro features for 30 days
Already have a token? Enter it when you launch Meta-Mar to unlock Pro features.
University Courses & Workshops
Teaching meta-analysis? We provide free workshop tokens for academic courses and university workshops. Your students get full Pro access during the course period.
Request workshop access:
- Course name and institution
- Expected number of participants
- Workshop dates
Try the Demo
Explore Meta-Mar's capabilities with our built-in demo. The demo tab is always available to everyone, with or without a subscription.
The demo tab includes sample data and walks you through a complete meta-analysis workflow.
Token Management
Check the status of your Meta-Mar Pro token or enter a new one. Your token provides unlimited access to all Meta-Mar features.
Check Token Status
Contribute to Meta-Mar
Help shape the platform's future through feedback and community engagement.
Development Priorities
Which areas matter most to you? Select all that apply:
Other Ways to Help
- Cite — Reference Meta-Mar in your publications
- Report — Submit bugs or ideas via GitHub Issues
- Share — Recommend to colleagues who might benefit
- Feedback — Email contact@meta-mar.com
Citation
@software{beheshti2026metamar,
author = {Beheshti, Ashkan and Sazmand, Hassan and Chavanon, Mira-Lynn and Christiansen, Hanna},
title = {Meta-Mar: An AI-Integrated Web Platform for Meta-Analysis},
year = {2026},
url = {https://www.meta-mar.com},
version = {4.0.2}
}
Paper under review at Journal of Open Source Software (JOSS)