/claim #16

Summary

• Add a distinct statistical methods review assistant slice for the AI-Powered Research Assistant Suite.
• Evaluate claim-to-analysis coverage, evidence artifact readiness, statistical test choice, sample-size and power risk, multiple-comparison controls, p-value/selective-reporting signals, assumptions, missing-data/outlier policies, and reproducibility prerequisites.
• Produce reviewer-ready packets, HMAC-signed audit evidence, synthetic sample data, tests, requirement mapping, and short demo artifacts.

Demo

• research-statistical-methods-reviewer/docs/demo.gif
• research-statistical-methods-reviewer/docs/demo.svg
• npm run demo prints ready/review/blocked manuscript review state plus signed packet evidence.

Verification

• npm run check
• npm test
• npm run demo
• npm run demo:gif
• git diff –check

Non-overlap

This is a statistical-methods reviewer slice. It does not duplicate broad assistant suites, protocol/evidence trace modules, evidence-grounding modules, replication planners, research-gap modules, or rebuttal response packs already submitted for issue #16.

AI-assisted with OpenAI Codex; I reviewed and verified the diff before submitting.