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END-TO-END-Clinical-SAS-Project-Oncology

This project showcases an end-to-end clinical Trial data transformation workflow for a Phase III Oncology (Lung Cancer) clinical trial (ONCO-PEMBRO-500) using SAS OnDemand. It demonstrates complete CDISC implementation from simulated raw data to SDTM mapping, ADaM analysis-ready datasets, and regulatory-compliant TLFs with QC validation.

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GITHUB · launched Sep 15, 2026 · 11 upvotes (top 68%) · 1 view

Niche: specialized analytics platforms · 141 launches, 4 in the last 7 days ▼ -60% · Explore this niche →

Category and tags

  • Healthcare
  • Workflow automation
  • B2B
  • Not AI
  • Hobby / open-source project

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Could you build this?

No Clinical trial data conversion requires rigorous biostatistical domain knowledge, complex regulatory standards (CDISC SDTM/ADaM), and validated double-programming QC procedures that AI coding assistants cannot substitute for.

What it would actually take: Requires an enterprise SAS programming suite or specialized pharmaceutical data pipelines (e.g., R pharmaverse) adhering strictly to FDA/ICH guidelines. The hard parts are defining CDISC SDTM/ADaM mapping specifications, handling intricate oncology endpoints like RECIST 1.1 progression-free survival, and executing dual-independent statistical validation.

Competitors

Other products that read as similar to this one : 38 launches clear the similarity bar, closest 8 shown.

Attention rank: #31 of 39 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 315 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.