01 · DELIVERABLE
Dataset and analysis version manifest
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Researchers and institutions needing traceable results · Worldwide online
Reproducible statistical analysis
Connect each result to the dataset version, analysis decisions and reviewed output that produced it.
Request Independent Statistical Review →Inspect real dataset evidenceTHE BUYER PROBLEM
Resolve the decision behind the request.
A final spreadsheet without code, settings or source version cannot explain how yesterday’s result was generated.
HOW THE WORK MOVES
Scope first. Traceable decisions throughout.
- Record source and clean versions
- Freeze objectives and analysis settings
- Retain outputs and diagnostics
- Review lineage before release
Professional delivery uses the existing canonical project and case workflow. Independent QA and release approval are distinct decisions; unresolved findings remain visible.
What the agreed scope can deliver
02 · DELIVERABLE
Code/settings and run documentation within scope
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
03 · DELIVERABLE
Evidence pack connecting outputs to QA decisions
Confirm the exact format, accountable reviewer and acceptance criteria in the written scope before work begins.
Methods, assumptions and boundaries
Re-running code does not prove the model is valid. External proprietary dependencies and unavailable source data must be documented.
Source values are preserved; changes require documented reasons. Analysis needs a defined outcome, population, design and eligible records. Review may withhold an unsupported test or conclusion.
Read the RMA methodology →Start with context. Transfer data privately.
The public fit check asks for objectives, stage and constraints. Do not paste participant names, health records, passwords or connector tokens. Access, permitted data, retention and export/deletion arrangements are confirmed before private transfer.
Review data-handling boundaries →Is this a fit?
For researchers and institutions needing traceable results who can explain the intended decision, provide authorised evidence and accept transparent limitations.
Outside scope: fabricated data, guaranteed significance, thesis ghostwriting, clinical decision-making or claims of regulatory certification.
Before you start
What does the first enquiry commit me to?
Nothing is charged through the fit-check form. RMA reviews scope and confirms deliverables, exclusions, timing and price in writing.
Will I need a personal or organisation workspace?
Choose personal research or an organisation project during intake. The same RMA account can participate in both. A professional service is linked to the canonical case; it does not create a separate portal.
Can you guarantee an outcome or approval?
No. Findings depend on the source data and design. QA checks the agreed evidence and cannot guarantee significance, graduation, grant funding or publication.
Prepare a stronger brief.
Research operations overview · Free research tools · Organisation product tour
Request Independent Statistical Review →