Meta-Analysis Services
Meta-analysis support from protocol to forest plot
Statistical synthesis support for pairwise, network, and Bayesian meta-analysis — including heterogeneity, subgroup, and publication bias analysis, delivered with publication-ready figures.
What's included
Pairwise meta-analysis
Effect size pooling using fixed-effects or random-effects models, matched to your data and study designs.
Network & Bayesian meta-analysis
Multi-treatment comparisons and Bayesian approaches for more complex evidence structures.
Forest plots & visual outputs
Publication-ready forest plots, funnel plots, and summary tables.
Heterogeneity & subgroup analysis
I² and Q-statistic reporting, with subgroup and meta-regression analysis where relevant.
Publication bias assessment
Funnel plot review and formal tests (e.g. Egger's test) to check for bias in the evidence base.
Software support
Work in RevMan, Comprehensive Meta-Analysis (CMA), R (metafor), or Stata — whichever your program requires.
How it works
Share your data
Extracted study data, or a completed systematic review ready for synthesis.
Model selection
We confirm the appropriate model and software for your evidence structure.
Analysis & figures
Pooled estimates, heterogeneity statistics, and publication-ready figures.
Interpretation & write-up
Results written up in a format suited to your target journal or committee.
Reading and interpreting your results
A pooled effect estimate is only useful if you can explain what it means and how confident you can be in it. That's why every meta-analysis engagement includes an interpretation pass, not just the raw statistical output — walking through what the forest plot shows, what your heterogeneity statistics mean for how the result should be framed, and whether publication bias is a concern for your evidence base.
If you're building the statistical intuition yourself, our forest plot guide and heterogeneity & I² guide walk through exactly how to read these outputs.
Frequently asked questions
Do I need a completed systematic review before you can run the meta-analysis?
Ideally yes — a systematic review's screening and data extraction process is what produces the studies and effect data a meta-analysis pools. If you haven't done that yet, we can support the full pathway; see Systematic Review Services.
What if my studies are too different to pool?
That's exactly what heterogeneity testing is for. If pooling isn't statistically appropriate, we'll tell you and discuss a narrative synthesis alternative rather than force a misleading pooled estimate.
Can you work from data I've already extracted?
Yes — share your extracted study data and we'll confirm the appropriate model and proceed directly to analysis.
Related support
Systematic Review Services
Need the underlying review too? We support the full pathway from protocol to synthesis.
See systematic review support →Medical Research Consulting
For meta-analyses in epidemiology, oncology, or clinical research specifically.
See medical research support →Get a free quote
Share your data or review stage, and we'll respond with a scoped, no-obligation quote.
Get a Free Quote