Evidence synthesis — foundations (opens in new tab)
The big picture: what a systematic review is, why pooling, where heterogeneity comes from, what a forest plot means.
Courses · paired with allmeta tools
Twenty-two interactive courses on evidence-synthesis methods. Each course pairs with one or more allmeta tools — read the theory in the course, jump to the tool with one click. The course site is browser-only and free; localised editions are available in twelve languages from the upstream course collection (opens in new tab).
Start here if evidence synthesis is new to you. Question framing, the synthesis vocabulary, and the methodologist career arc.
The big picture: what a systematic review is, why pooling, where heterogeneity comes from, what a forest plot means.
PICO and PECO question framing, search-feasibility checks, scope discipline, and avoiding the duplicate-review trap.
Estimators (DL, REML, Paule-Mandel, MH, Peto), the inverse-variance weighting story, and when to use which.
The methodologist's toolkit — running R locally, validating your browser results against canonical CRAN packages, and the career arc from first MA to methods paper.
End-to-end paths for specific review types. Pair each course with the matching allmeta workflow.
Cochrane Rapid Reviews Methods Group (Garritty 2021) — single-reviewer screening with verification, streamlined extraction.
PROGRESS framework, PICOTS, CHARMS extraction, QUIPS / PROBAST appraisal, GRADE-for-prognosis.
Reviews of systematic reviews: when to do one, AMSTAR-2 appraisal, handling overlap, conflicting reviews.
Thomas-and-Harden thematic synthesis, GRADE-CERQual confidence, when narrative beats meta-aggregation.
Continuously updated evidence syntheses: trigger criteria, version control, sustaining a living review.
Pooling cohorts and case-controls: ROBINS-I, confounding control, when adjusted estimates can be combined.
Once you have the basics, go deeper into the techniques that turn a competent MA into a defensible one.
Network meta-analysis, multilevel models, meta-regression, GOSH, Bucher indirect, transitivity and consistency.
One-stage vs two-stage, harmonising covariates, IPD vs aggregate-data trade-offs, K-M reconstruction.
Bivariate and HSROC pooling, threshold effects, QUADAS-2, Reitsma vs Rutter-Gatsonis.
Funnel asymmetry, Egger and Peters tests, trim-and-fill, PET-PEESE, Copas, p-curve. Pick the right tool for the bias mechanism.
Sequential monitoring boundaries, O'Brien-Fleming alpha-spending, Required Information Size, futility.
Risk of bias, certainty of evidence, and how to write up an MA so reviewers don't bounce it.
RoB 2 (Sterne 2019), ROBINS-I (Sterne 2016), ROBINS-E (Higgins 2024), QUADAS-2, when to use which.
The five downgrade domains, three upgrade considerations, NMA-specific CINeMA, GRADE-DTA, GRADE-CERQual.
PRISMA 2020 reporting, PRISMA-NMA, structured abstracts, supplementary materials, what reviewers actually look for.
Specialised paths: speed, decision-making, AI assistance, and reproducibility receipts.
How to run a meta-analysis in a week without sacrificing rigour. Templates, checklists, parallelisation.
Cost-effectiveness, decision analysis, MCID and non-inferiority margins. Built around an HTA Oman case study.
Using LLMs responsibly: extraction, screening, what to verify, where to keep humans in the loop.
HMAC-signed bundles for evidence reproducibility: what a receipt covers, what it doesn't, how reviewers verify.
New to evidence synthesis? Start with Foundations (opens in new tab), then pick a workflow. The full multi-language collection lives at synthesis-courses (opens in new tab).