jama-statistics
Use when preparing or auditing the statistical analysis and reporting of a JAMA manuscript so it survives JAMA's dedicated statistical review. Enforces effect sizes with 95% CIs, multiplicity control, and pre-specification; it does NOT choose the study design or write prose.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jama-statistics --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Statistics & Statistical Review (jama-statistics) ## When to trigger - Results report p-values without effect sizes or confidence intervals - Many comparisons but no multiplicity plan - The analysis was not pre-specified, or outcomes drifted from the protocol - Preparing for JAMA's **dedicated statistical review** of accepted-pending manuscripts ## Core reporting rules at JAMA 1. **Effect sizes with 95% CIs, not p-values alone.** Report the estimate (mean difference, risk/hazard/odds ratio, absolute risk difference) **with its 95% CI**. P-values supplement; they do not substitute. Treat "significance" as a statement about the interval, not a 0.05 threshold ritual. 2. **Pre-specified outcomes.** State the single primary outcome and the secondary outcomes exactly as registered/protocoled. Flag any post hoc analysis as exploratory. 3. **Intention-to-treat for RCTs.** Primary analysis is ITT; per-protocol and as-treated are secondary/sensitivity. 4. **Multiplicity.** With multiple outcomes, subgroups, or time points, pre-specify the testing hierarchy and the correction (e.g., hierarchical testing, Bonferroni/Holm, gatekeeping). Subgroups without a multiplicity plan are hypothesis-gen
- When to trigger
- Core reporting rules at JAMA
- Reporting conventions to follow
- Audit table
- Surviving JAMA's independent statistical review
- Worked example: a primary-outcome readout (illustrative)
- Reviewer pushback and the JAMA fix
- Checklist
- Anti-patterns
- Output format
What does the jama-statistics skill do?
Use when preparing or auditing the statistical analysis and reporting of a JAMA manuscript so it survives JAMA's dedicated statistical review. Enforces effect sizes with 95% CIs, multiplicity control, and pre-specification; it does NOT choose the study design or write prose.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jama-statistics --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.