How does this skill help in choosing a statistical test?

It provides a built-in decision tree that guides you to the correct test based on whether your data is continuous or categorical, normal or non-normal, and how many groups you are comparing.

How does it handle the interpretation of p-values?

The skill emphasizes that p-values are not measures of effect size or clinical importance; it promotes reporting exact values and focusing on confidence intervals for better clinical context.

Can it calculate cardiology-specific metrics like NNT?

Yes, it provides the formulas and interpretation logic for key cardiology metrics including Number Needed to Treat (NNT), Hazard Ratios (HR), and Absolute Risk Reduction (ARR).

Does this skill help with APA formatting?

Absolutely. It includes standardized templates for reporting t-tests, ANOVA, correlations, and regression models in professional APA style.

Cardiology Research Statistics

Name: Cardiology Research Statistics
Author: drshailesh88

bydrshailesh88

0•

Data Science & ML

Provides rigorous statistical guidance for interpreting and reporting clinical research findings in cardiology.

This skill equips Claude with specialized knowledge to interpret clinical trial data, navigate complex statistical decision trees, and accurately report cardiology research findings. It provides expert guidance on essential metrics like Hazard Ratios, NNT, and Absolute Risk Reduction while helping users differentiate between statistical and clinical significance. By incorporating APA-style reporting templates and a rigorous validation checklist, it ensures that research outputs are precise, professionally formatted, and free from common pitfalls like p-hacking or misinterpretation of confidence intervals.

Key Features

01Rigorous verification of p-values, confidence intervals, and effect sizes

02Quality checklist for clinical trial reporting and evidence evaluation

03Guided statistical test selection for continuous and categorical outcomes

04Automated APA-style reporting templates for diverse statistical tests

050 GitHub stars

06Comprehensive interpretation of cardiology metrics including ARR, RRR, and NNT

Use Cases

01Interpreting and summarizing the outcomes of major cardiovascular clinical trials

02Drafting the statistical results section for a cardiology research manuscript

03Evaluating the strength of evidence and clinical impact of study findings

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add drshailesh88/integrated_content_os cardiology

For use in Claude.ai and ChatGPT

Download Skill