r-biostats

What problem does it solve?

This Skill streamlines complex epidemiological and biostatistical analyses using R, addressing the need for specialized statistical modeling, data visualization, and reporting in medical research.

Core Features & Use Cases

• Statistical Analysis: Perform descriptive statistics, regression (linear, logistic, Poisson), survival analysis (Kaplan-Meier, Cox), mediation/moderation, and meta-analysis.
• Data Visualization: Generate publication-quality plots with scientific color palettes and proper formatting.
• Reporting: Create standardized tables (e.g., Table 1) and summarize results for reports and papers.
• Use Case: Analyze a cohort study dataset to investigate the relationship between lifestyle factors and cardiovascular events using Cox regression, generating survival curves and a summary table of results.

Quick Start

Use the r-biostats skill to perform a Cox regression analysis on the dataset 'my_data.csv' to examine the association between 'exposure' and 'outcome', adjusting for 'age' and 'sex'.