Network Meta-analysis Workshop - a virtual learning experience
This two day comprehensive network meta-analysis workshop enables participants to learn how to conduct and interpret methodologically rigorous network meta-analysis. This workshop dovetails with the GRADEconf, a clinical guideline development workshop using the GRADE approach, or can be utilized as a standalone learning experience for those only interested in network meta-analysis. This symposium is supported by the Evidence Foundation and the U.S. GRADE Network.
- When: Monday and Tuesday, January 12 and 13, 2026, 11 am to 4:30 pm Central Standard Time
- Where: virtual - remote attendance
- Registration fee: early bird: $798 (ends September 30, 2025), regular: $998.
- Groups: 2+ are also eligible for the discounted fee at $798. To receive the discount code, please send email to Evidence Foundation
- A limited number of workshop registration scholarships are available through the Evidence Foundation. Apply by September 30, 2025.
- Registration is processed through the Evidence Foundation
- Terms and conditions apply
Whoshould attend?
- Clinicians and researchers interested in conducting or interpreting network meta-analysis
- Residents and fellows
- Pharmacy & Therapeutics (P&T) committee members
- Nurses and other allied health care providers
- Policy makers and guideline developers
- Educators and others interested in high quality evidence synthesis
Whatare the conference objectives?
- Explain the importance of systematic reviews to evidence-based clinical practice
- Identify the essential elements of a well-conducted network meta-analysis
- Describe and explore heterogeneity, intransitivity and incoherence
- Appraise the certainty of the evidence derived from network meta-analysis
- Perform basic steps of pooling data through a network meta-analysis
- Conduct NMA using statistical software
Howto get additional training?
- Those with interest in additional, hands-on training in GRADE methodologies may consider signing up for the GRADE Guidelines Workshop: October 28 to 31, 2025 (virtual)
- Book early as workshop seats are limited.
