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ADaM Core Theory and Application

On Demand

Training Schedule Options (click on 'Read more...' to view all options)

The ADaM Core Theory and Application virtual training consists of contact hours (3 scheduled days of live Zoom instruction at 3 hours each). The CDISC Education Team will email all registered participants a Zoom link one week prior to the start of training.

See below for full breakdown of options: 

Option: USA
Start Date: 27 October
Training Days: 27, 28, 29 October
(3-hour virtual sessions on Zoom)
Time: 2:00pm-5:00pm
Language: English
Location: online

Option: Japan
Start Date: 8 December
Training Days: 8, 9, 10 December
(3-hour virtual sessions on Zoom)
Time: 2:00pm-5:00pm
Standard Japan Time
Language: Japanese
Location: online

*Trainings will be rescheduled or cancelled if minimum enrollment requirements are not met.

Course Description

The Analysis Data Model (ADaM) specifies principles for analysis datasets and standards for a subject-level analysis file and for a basic data structure, which can be used for a wide variety of analysis methods. The ADaM Core Theory and Application course provides an overview of the current implementation guide, data structures, and related materials for submissions.

Course Agenda

  • Module 1: ADaM in the Clinical Data Process
  • Module 2: ADaM Basics
  • Module 3: ADaM Basics – Fundamental Principles
  • Module 4: Traceability and Define-XML
  • Module 5: ADaM Rules and Best Practices
  • Module 6: ADaM Subject Level Analysis Dataset (ADSL)
  • Module 7: Basic Data Structure (BDS)
  • Module 8: ADaM Occurrence Data Structure (OCCDS)
  • Module 9: Summary of ADaM Data Structures
  • Module 10: ADaM Implementation Guide
  • Module 11: ADaM Supplemental Documents

Course-Level Learning Outcomes

At the end of this course, learners will be able to:

  • recognize the ADaM basics and general rules in order to build a foundation for ADaM implementation.
  • distinguish among ADaM data classes in order to build a foundation for ADaM implementation.
  • establish a basis for constructing different classes of ADaM datasets, including ADaM Subject Level Analysis Dataset (ADSL), ADaM Basic Data Structure (BDS) and ADaM Occurrence Data Structure (OCCDS).
  • determine when to create columns and rows in BDS, recognize the need for supportive data, and identify rows used for analysis and population specific records.
  • describe conformance rules, list the components of ADaM metadata and define.xml, as well as demonstrate working knowledge of the ADRG.
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