Advanced Meta‑Analysis
Master advanced statistics, leverage AI, and get early access to RC MetaStudio.
Go beyond pooled estimates and forest plots. Learn to choose and apply the right evidence-synthesis method for every research question. No coding required.
Compare every intervention in one network · sample data
Every student gets a research project with mentorship until publication.
Every project is submitted to an international conference.
Ten techniques, one workshop
The methods behind higher-level journals and scientific meetings.
AI-assisted meta-analysis
Use AI to speed up screening, extraction and synthesis.
Advanced meta-regression
Explore why treatment effects differ between studies.
Hartung–Knapp adjustment
More reliable confidence intervals when studies are few.
Hedges' g
Standardized effect sizes corrected for small samples.
REML estimation
Robust estimation of between-study variance.
Bayesian meta-analysis
Combine prior evidence with new data for richer inference.
Trial Sequential Analysis
Judge whether the accumulated evidence is conclusive.
Diagnostic test accuracy
Pool sensitivity and specificity across studies.
Network meta-analysis
Compare multiple interventions in one analysis.
Umbrella reviews
Synthesize findings across existing meta-analyses.
Answer questions a basic meta-analysis can't
Which option works best?
Compare multiple interventions at once with network meta-analysis.
Why do results differ?
Explain heterogeneity with meta-regression, subgroup and sensitivity analyses.
How accurate is a test?
Assess diagnostic performance with DTA meta-analysis.
Is the evidence enough?
Test whether evidence is robust with Trial Sequential Analysis.
What does it all say?
Bring many meta-analyses together in an umbrella review.
“From simply performing a meta-analysis to choosing the right method for the question.”
Meet RC MetaStudio
A highly capable platform built on R, for advanced statistical analyses that no other free software offers.
- No coding required
- Advanced analyses, from network to Bayesian meta-analysis
- Publication-ready outputs
- Workshop attendees get first access
Your next step after the basics
For students who already understand conventional systematic reviews and meta-analysis.
Conventional meta-analysis
- Pairwise comparisons
- Pooled estimates
- Forest plots
- Standard systematic reviews
Advanced evidence synthesis
- Network, Bayesian and DTA meta-analysis
- Meta-regression, subgroup and sensitivity analyses
- Trial Sequential Analysis and umbrella reviews
- Choosing the right method for each question
New to meta-analysis? Start with our Meta-Analysis Masterclass.
Be first in line
Dates for the next Advanced Meta-Analysis workshop will be announced soon. Join the waitlist and we'll email you the moment registration opens. Seats are limited.
Good questions
Who is this workshop for?
Students and researchers who already understand conventional systematic reviews and meta-analysis and want to move on to more sophisticated evidence synthesis.
How is it different from the Meta-Analysis Masterclass?
The Meta-Analysis Masterclass teaches the foundations. This workshop goes beyond pooled estimates and forest plots to network meta-analysis, TSA, DTA, meta-regression, umbrella reviews and more.
Do I need to know how to code?
No. RC MetaStudio runs advanced R-based analyses without requiring extensive programming experience.
What is RC MetaStudio?
An R-based platform built by RC to perform advanced analyses and generate publication-ready outputs. Workshop attendees get first access.
Will I work on a real project?
Yes. Every student gets a research project with mentorship until publication, and every project is submitted to an international conference.
How is it delivered?
Live on Zoom, with guided, hands-on training and Q&A throughout.
How much does it cost, and when is it?
The workshop fee is $99. Dates for the next cohort will be announced soon, so join the waitlist to hear first.