sbj_vars

<p><code>sbj_vars()</code> returns the set of variable names that uniquely define
a subject.</p>

An Electronic Data Capture system (EDC) and Data Standard agnostic
solution that enables the pharmaceutical programming community to develop
Clinical Data Interchange Standards Consortium (CDISC)
Study Data Tabulation Model (SDTM) datasets in R. The reusable algorithms
concept in 'sdtm.oak' provides a framework for modular programming and can
potentially automate the conversion of raw clinical data to SDTM through
standardized SDTM specifications. SDTM is one of the required standards for data
submission to the Food and Drug Administration (FDA) in the United States and
Pharmaceuticals and Medical Devices Agency (PMDA) in Japan. SDTM standards
are implemented following the SDTM Implementation Guide as defined by
CDISC <https://www.cdisc.org/standards/foundational/sdtmig>.

Rammprasad Ganapathy

sdtm.oak

SDTM Data Transformation Engine

Adam Forys

Edgar Manukyan

Rosemary Li

Preetesh Parikh

Lisa Houterloot

Yogesh Gupta

Omar Garcia

Ramiro Magno

Kamil Sijko

Shiyu Chen

Pattern Institute 

F. Hoffmann-La Roche AG 

Pfizer Inc 

Transition Technologies Science 

sbj_vars function

Subject-level key variables — sbj_vars

Subject-level key variables

sbj_vars: Subject-level key variables

Description

Usage

Arguments

Value

Examples