Python Modeling Framework for Health Technology Assessment
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Updated
Aug 31, 2026 - Python
Python Modeling Framework for Health Technology Assessment
Interactive R Shiny dashboard for Kaplan–Meier reconstruction, pseudo-IPD generation, parametric survival modeling, extrapolation and RMST analysis using the KEYNOTE-024 clinical trial.
Applied health-economics engine for consumer genomics — what is knowing your genome actually worth? Cost-utility analysis, value of information, budget impact and PSA over a provenance-tracked parameter registry. Cost, QALYs and ICER reported separately. Runs entirely offline; no DNA leaves your machine.
AI-powered clinical evidence research tool for Medical Affairs and HEOR teams — ClinicalTrials.gov + PubMed + Claude AI
New-user active-comparator cohort study comparing SGLT2i vs DPP4i on HF hospitalization risk. Propensity score matching, Cox PH, IPTW — full protocol, SAP, and results report in R.
Automated Python pipeline for extracting, formatting, and calculating age-adjusted mortality rates (AAMR) from CDC WONDER / NVSS mortality microdata for HEOR and epidemiological research.
Cross-sectional OLS analysis of the income-mortality gradient across 3,080 US counties using 2025 County Health Rankings data.
: HTA evidence gap analysis tool mapping sponsor dossier against NICE, G-BA, and HAS submission requirements
R portfolio demonstrating meta-analysis, survival analysis, forest plots, and hazard ratio modeling for HEOR, HTA, and Evidence Synthesis roles.
R package for confounder-adjusted association testing via propensity-score matching, weighting, and stratification. Five independent methods, one function call.
AI-powered pharma document Q&A — upload any FDA label, trial report, or guideline and ask questions with exact page references. Built with RAG, LangChain, and Claude AI
Real-world data (RWD) analysis archive — exploratory healthcare analytics from pharma research context
Longitudinal analysis of dietary carbohydrate quality and physical functioning in older adults using GEE models — New England Centenarian Study (SAS + R)
Reproducible SAS framework for claims cohort construction, phenotyping, healthcare utilization, and resource-use analysis.
n8n automation life-sciences email-outreach pharma biotech heor google-sheets gmail
A modern, responsive professional portfolio website showcasing the expertise and services of Daniel Ribes, Senior Health Economist with 10+ years of experience in economic modeling, HTA submissions, and market access strategies.
Illustrative HTA-style probabilistic cost-effectiveness analysis using Python, Monte Carlo PSA, decision uncertainty, CEAC, scenario analysis, and reproducible exports.
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