For authors
Statistical Synthesis
Analytical choices must be specified in advance, justified clinically and statistically, and reproducible from the submitted data and code.
Required elements
- Pre-specified outcomes, time points and effect measures.
- Justification of fixed-effect or random-effects models.
- Method used to estimate between-study variance.
- Heterogeneity reporting, including I², τ² and prediction intervals where appropriate.
- Clinical and methodological assessment of heterogeneity.
- Pre-specified subgroup and sensitivity analyses.
- Justified meta-regression with adequate study numbers.
- Assessment of small-study effects and publication bias when meaningful.
- Transparent handling of zero events, multi-arm studies, multiple outcomes and missing data.
- Certainty-of-evidence assessment for key outcomes.
- Software name, version, packages and complete analytic code.
No automatic model preference
GMR does not require one universal statistical model. Authors must justify the model in relation to the scientific question, estimand, study designs and expected heterogeneity.