admiral-adsl
OfficialAutomate ADaM Subject-Level Analysis Dataset (ADSL) derivation
AuthorRConsortium
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the derivation of ADaM Subject-Level Analysis Dataset (ADSL) from SDTM domains, simplifying the process of creating subject-level data for clinical trial submissions.
Core Features & Use Cases
- ADSL Derivation: Automatically derive ADSL from SDTM DM, EX, DS, DV, and MH domains.
- Standard Variables: Generate key subject-level variables like treatment dates, disposition, demographics, and population flags.
- Use Case: Use this Skill to generate an ADSL dataset from SDTM input files, saving time and reducing errors in the data preparation process.
Quick Start
Generate an ADSL dataset from the provided SDTM input files using the admiral-adsl skill.
Dependency Matrix
Required Modules
admiraldplyrlubridatepharmaversesdtm
Components
scriptsreferences
💻 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: admiral-adsl Download link: https://github.com/RConsortium/pharma-skills/archive/main.zip#admiral-adsl Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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