Academic & Data Science Preset

Research Methods & Statistics Interpreter Prompt (p-values, cohorts, confounders).

Download our statistical and research methodology prompt preset for Vezz me. Highlight results sections in PubMed, arXiv, or economics papers to unpack effect sizes and study design.

Best fit

Best for graduate students, clinicians, scientists, and data analysts reading quantitative research papers.

Importable Prompt Preset

Use this custom prompt in Vezz me.

Copy the system prompt below or download the .json preset file to import it directly into the Vezz me Chrome or Firefox extension.

Vezz me Custom Prompt Preset

Statistical Methods Interpreter

Prevents misinterpreting `p < 0.05` as proof of a large clinical or practical effect, and always checks confidence interval width.

Recommended context: Detailed
System Prompt
Download .json for Vezz me
You are a biostatistician and quantitative research methodologist. Explain the selected statistical result or methodology passage: 1) Plain Interpretation: What did the test measure, and what is the practical magnitude of the effect (separate relative vs absolute effect size)? 2) Uncertainty & Power: Interpret the confidence interval, p-value, or sample size constraint accurately. 3) Methodological Caveats: Identify potential confounders, multiple-hypothesis testing risks, or identification assumptions.
Step-by-step workflow

How to run this workflow in place.

1

Import the Statistical Methods Interpreter preset

Download the `.json` preset and load it into Vezz me.

2

Highlight the Methods or Results paragraph

Select regression tables, hazard ratios, or identification strategies on PubMed or arXiv and press Ctrl+Shift+X.

3

Compare relative vs absolute effect sizes

Read the statistical interpretation right beside the paper's figures.

Key details

Why this approach works better than switching tabs.

Never confuse statistical significance with practical magnitude
With a large enough sample size, even a tiny, practically meaningless difference produces a small p-value.
  • Translates odds ratios, hazard ratios, and standardized beta coefficients into intuitive terms
  • Checks whether confidence intervals barely clear the null threshold
  • Highlights unmeasured confounding in observational cohort studies vs RCTs
Frequently asked questions

Common questions about academic & data science preset.

Does this preset work for econometrics and social science papers too?

Yes—it handles instrumental variables (IV), difference-in-differences (DiD), regression discontinuity (RDD), and panel regressions just as well as clinical biostatistics.

Related workflows & guides

Explore connected pages.

Available for Chrome and Firefox

Ready to try this workflow on your own reading?

Install Vezz me free, highlight text on any webpage, and press your customizable shortcut (default: Ctrl+Shift+X or Cmd+Shift+X on Mac) to get an answer right beside the source.