Research question and estimand
Population, exposure or intervention, comparator, outcomes, time horizon, and the effect the analysis is intended to estimate.
Study design, methods & statistics
Test the reasoning before it becomes a reviewer’s objection.
Focused technical review for protocols, analysis plans, datasets, results, or manuscripts requiring careful assessment of design, bias, statistical methods, reporting, and interpretation.
Technical review
Questions matched to the study design.
A checklist cannot replace judgment. The review is adapted to the research question, design, outcome structure, data limitations, and intended inference.
Design and bias
Selection, measurement, confounding, clustering, repeated observations, missingness, temporality, and other design-specific threats.
Analysis strategy
Model choice, assumptions, variable handling, effect measures, uncertainty, multiplicity, sensitivity analyses, and internal consistency.
Statistical reporting
Denominators, descriptive summaries, effect estimates, confidence intervals, exact methods, software, diagnostics, and reproducibility information.
Interpretation
Alignment of conclusions with the design, analysis, precision, limitations, and distinction between association, prediction, and causation.
Defined output
What you receive
One focused report addressing the technical questions included in the confirmed scope.
Technical assessment
Prioritized findings on design, analysis, assumptions, reporting, and interpretation.
Correction pathway
Specific recommendations distinguishing essential corrections, preferable improvements, and unresolved limitations.
Transparent limitations
A record of files reviewed, information unavailable, and questions that cannot be resolved from the supplied material.
Transparent scope
Review is not automatic reanalysis
- Data cleaning, coding, model fitting, or full reanalysis unless separately agreed
- Verification that supplied data are authentic, complete, or correctly collected
- Prospective sample-size calculation without adequate design assumptions
- Regulatory, clinical, or legal approval of a protocol
- Retrospective justification of an inappropriate analysis
- Guaranteed acceptance or favorable statistical conclusions
When analysis execution is requested, feasibility, software, data sensitivity, reproducibility materials, and deliverables require a separate written scope.
Start with the technical question
Tell us what needs to be tested.
Provide the study stage, design, main outcome, principal concern, available files, and desired timeline. Do not upload identifiable or highly sensitive data.