ADaM Core Theory and Application
Training Schedule Options (click on 'Read more...' to view all options)
The ADaM Core Theory and Application virtual training consists of 9 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 prior to the start of training.
See below for schedule options: |
 | ADaM Core Theory and Application: Region: Japan 日本 6 - 8 July 13:00 - 16:00 Japan Standard Time (Japanese) Region: China 中国 13 - 15 July 13:00 - 16:00 China Standard Time (Mandarin) Region: India 18 - 20 July 16:00 - 19:00 India Standard Time (English) |
 | ADaM Core Theory and Application: Region: US 12 - 14 September 9:00 - 12:00 US Eastern Time (English) |
*Registration ends at 5:00pm EST (17:00) one business day prior to the training start date.
*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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