Illustrative HTA-style probabilistic cost-effectiveness analysis using Python, Monte Carlo PSA, decision uncertainty, CEAC, scenario analysis, and reproducible exports.
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Updated
May 31, 2026 - Jupyter Notebook
Illustrative HTA-style probabilistic cost-effectiveness analysis using Python, Monte Carlo PSA, decision uncertainty, CEAC, scenario analysis, and reproducible exports.
Cost-effectiveness microsimulation model for IXA-001 (aldosterone synthase inhibitor) vs Spironolactone in resistant hypertension. Features dual-branch phenotyping, PA risk modifiers, AF tracking, and interactive Streamlit dashboard.
An advanced Health Economics and Outcomes Research (HEOR) engine and interactive obesity treatment calculator. Built with Python, this tool models clinical pathways, performs Probabilistic Sensitivity Analysis (PSA), and evaluates cost-effectiveness to support data-driven healthcare decision-making and pharmaceutical research
Budget impact model for IXA-001 in resistant hypertension. Features population funnel analysis, uptake scenarios, secondary HTN etiology stratification, and interactive Streamlit dashboard with Excel exports.
Markov cohort simulation evaluating LDCT lung cancer screening cost-effectiveness in Singapore, including never-smokers
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