ClinicalTrialEDA

Trial Analytics & Biomarker Discovery

A notebook-driven exploratory analysis of a synthetic Phase III anti-inflammatory trial (RX-7281 vs placebo), demonstrating the biostatistics workflow behind a trial readout.

Methods & contributions

• Inflammatory biomarker panel — CRP (mg/L), IL-6 (pg/mL), TNF-α (pg/mL), and ESR (mm/hr) with correct units throughout.
• Hypothesis testing — chi-squared, Mann–Whitney U, response-rate comparison, and a baseline-balance "Table 1".
• Biomarker discovery — scikit-learn predictors with SHAP attribution and survival curves via lifelines.
• Reproducible data — a seeded synthetic generator (1,200 patients) keeps the whole narrative deterministic.

Data flow

synthetic generator → EDA → statistical testing
                    → biomarker discovery (SHAP · survival)

Rendered Jupyter notebooks

The analysis narrative is captured in Jupyter notebooks, rendered to HTML for direct viewing.

Technologies