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sdtm-programming

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Master SDTM programming with Python, SAS, and R.

Data & Analytics#programming#etl#data-transformation#sdtm#clinical-data#cdisc#python-sas-r
Authorsiddharthchauhan
Version1.0.0
Installs0

System Documentation

What problem does it solve?

SDTM programming workflow is complex and error-prone. This Skill provides structured guidance for implementing SDTM data transformations using Python, SAS, and R, including mapping, validation, and metadata generation.

Core Features & Use Cases

  • Multi-language SDTM transformation: Implement domain-level transformations using Python (Pandas/Polars), SAS, and R with reusable patterns.
  • Controlled terminology handling: Apply CDISC terminology mappings and data quality checks within ETL pipelines.
  • End-to-end SDTM pipelines: Cover from data ingestion to target dataset generation, including EPOCH/BLFL derivations and study-day calculations.
  • Use Case: Build a transformation for DM to SDTM-DM with proper date handling and domain relationships in a clinical trial dataset.

Quick Start

Use this skill to scaffold a basic SDTM transformation for the DM domain using sample source data; adapt mapping_spec and reference_data to your dataset.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: sdtm-programming
Download link: https://github.com/siddharthchauhan/ETL/archive/main.zip#sdtm-programming

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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