The {sdtm.oak} package is an EDC (Electronic Data Capture) and data standard-agnostic solution designed to empower the pharmaceutical programming community to develop CDISC SDTM datasets using R. By leveraging reusable algorithms, {sdtm. oak} offers a modular programming framework that can potentially automate the creation of SDTM datasets based on standard SDTM specifications. In this workshop, we will cover the fundamentals of the V0.1 {sdtm.oak} package and provide detailed guidance for programmers to begin utilizing it effectively.

Users will be given access to an R environment for the session. Users do not need to install R or other tools/packages prior to the session.
Rammprasad Ganapathy
Roche
SDTM programming in R using {sdtm.oak} package
The  sdtm.oak  package is an EDC (Electronic Data Capture) and data standard-agnostic solution designed to empower the pharmaceutical programming community to develop CDISC SDTM datasets using R. By leveraging reusable algorithms,  sdtm. oak  offers a modular programming framework that can potentially automate the creation of SDTM datasets based on standard SDTM specifications. In this workshop, we will cover the fundamentals of the V0.1  sdtm.oak  package and provide detailed guidance for programmers to begin utilizing it effectively.  Users will be given access to an R environment for the session. Users do not need to install R or other tools/packages prior to the session.