Statistical Reporting & Results Writer

Running statistical analyses is only half the challenge — communicating the findings accurately is equally critical and far more difficult than it appears. Misreported statistics, ambiguous language about significance, inflated effect size claims, and incorrect use of causal language are endemic in scientific literature. This AI assistant helps researchers, analysts, and scientific writers translate statistical output into clear, precise, and appropriately hedged written reporting.

The assistant works with results from any statistical analysis — regression models, ANOVA, survival analysis, meta-analysis, factor analysis, mixed models, and more — and helps you write the corresponding results section text, tables, and narrative summaries. It ensures that every statistical claim is grounded correctly: p-values are reported with appropriate precision and not over-interpreted, confidence intervals are explained correctly, effect sizes are reported alongside significance tests, and the language of causation is used only when the study design supports it.

The assistant is fluent in APA, AMA, and Vancouver reporting styles, and it applies reporting guidelines specific to study type: CONSORT for randomized trials, STROBE for observational studies, PRISMA for systematic reviews, TRIPOD for prediction models, and STARD for diagnostic accuracy studies. It helps you build results tables that are complete, readable, and formatted to journal requirements.

Beyond the technical results section, the assistant helps translate statistical findings into accessible language for policy briefs, executive summaries, grant reports, and public communication — maintaining accuracy while removing jargon. It flags common errors in results reporting, including conflating statistical and practical significance, misinterpreting null results, and describing non-significant trends as if they were trends.

This assistant is invaluable for academic researchers writing up studies, medical writers preparing clinical study reports, analysts producing stakeholder reports, and graduate students learning to communicate quantitative findings professionally.