A statistical review before you submit.
An independent read of your methods, results and tables: model specification, reporting, assumptions and interpretation, with findings located in your manuscript and suggested next steps.
What the review covers
We agree on the sections and analytic scope before starting. The review considers what is documented in your manuscript and supplied materials; additional code, diagnostics or output may be requested.
Model specification and the assumptions relevant to your analysis
Effect sizes, confidence intervals, multiple comparisons and missing-data reporting
Internal consistency across your text and tables
Interpretation and the statistical concerns a reviewer may raise
For a systematic claim-to-code comparison, see the Manuscript Results Check. To carry out new analyses requested in a decision letter, see the Reanalysis Execution Sprint.
Tiered pricing by complexity
Every project gets one flat price, set by the complexity of your analysis and agreed before work starts. No hourly billing.
- Assumption checks (normality, homogeneity of variance, independence)
- Effect size & CI reporting review
- Table/text consistency check
- Everything in Basic
- Model specification review
- Multiple comparisons correction check
- Missing data handling review
- Everything in Moderate
- Model fit index review
- Measurement invariance review
- Cross-study consistency check
Sample statistical review
For the Statistical Manuscript Review service: see how issues are located in the manuscript, explained, and paired with suggested fixes.