Derive an ADAE dataset from SDTM AE using the admiral R package.
npx skills add https://github.com/RConsortium/pharma-skills --skill admiral-adae
Please help me install this Agent Skill. Skill: admiral-adae Source: https://github.com/RConsortium/pharma-skills/tree/main/admiral/admiral-adae Command: npx skills add https://github.com/RConsortium/pharma-skills --skill admiral-adae
This Skill automates the derivation of the CDISC-conformant ADaM Adverse Events Analysis Dataset (ADAE) using the admiral R package, streamlining the process of generating ADAE datasets from SDTM AE and supporting domains.
Generate an ADAE dataset from SDTM AE using the 'admiral-adae' skill.
High-intent search queries and answers about installing and using this skill.
To derive an ADAE dataset from SDTM AE, use the admiral package in R to automatically generate treatment-emergent flags, severity, seriousness, causality, and outcome variables for clinical trial safety analysis.
The admiral package is used in clinical trial data analysis to derive CDISC-conformant ADaM datasets from SDTM domains, streamlining the generation of analysis datasets like ADAE for safety evaluations.
Yes, generating ADaM Adverse Events datasets requires pharmaversesdtm for SDTM data inputs, along with admiral, dplyr, and lubridate to execute the R-based derivation workflow.
You can automate treatment-emergent flag derivation for adverse events by applying the admiral R package to your SDTM AE domain, which systematically creates these flags alongside severity and causality variables.
The best way to create CDISC-conformant ADAE datasets for safety analysis is using the admiral package in R, which provides standardized functions to derive required adverse event variables from SDTM inputs.
When using admiral for ADAE dataset derivation, limitations include strict dependencies on pharmaversesdtm for source data and the necessity to follow CDISC standards closely to ensure accurate safety analysis outputs.
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