ADaM Theory and Application
Upcoming Public Training Opportunities:
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 Theory and Application course provides an overview of the current implementation guide, data structures, and related materials for submissions.
ADaM Subject Level Analysis Dataset (ADSL)
ADaM Basic Data Structure (BDS)
ADaM Occurrence Data Structure (OCCDS)
ADaM Implementation Guide
ADaM Supplemental Documents
- Time to Events (using BDS)
- Statistical Examples
- Validation Checks
Additional Materials for Submission
Successful Course Completion
- In order for a learner to successfully complete a course:
- An education representative or learner will complete training registration.
- A learner will complete formative assessment survey
- A learner must attend course for 80% of total course time. Specific attendance requirements are posted in course information pages.
- A learner will complete final course assessment with a score of at least 80% correct.
- A learner will complete summative assessment surveys
- Remediation: The following requirements will be in effect if learner does not successfully complete all parts of training:
- If learner registers for course but fails to complete formative assessment in required time, learner will be notified that they must transfer registration to later date.
- If learner completes formative assessment but does not meet attendance requirement, learner will be notified that they must re-attend course in full.
- If learner meets attendance requirement in full but fails content assessment, learner is given a maximum of two additional re-attempts before being required to re-attend the course in full. Learner will be notified and will receive a certificate of attendance after the third failed assessment attempt.
- If learner successfully completes content assessment but fails to complete summative assessment, learner will be notified and CEUs will be on hold until summative assessment is completed.
Have attended ADaM Primer course previously,
1. Be familiar with CDISC models including the goals and basic background of CDISC.
2. Have a general understanding of what the SDTM and ADaM are.
3. Have a general knowledge of FDA and/or PMDA data standards regulations.
4. Have a general understanding of the statistical analysis process.
5. Be aware of what ADaM documentation exists.
6. Understand the ADaM fundamental principles.
7. Understand what ADaM traceability is and how ADaM appears in define.xml.
8. Be aware of ADaM general rules and best practices.
9. Have a very basic understanding of ADaM ADSL, BDS, and OCCDS.
Individuals who do not meet the above pre-requisites are strongly advised to take the ADaM Primer course first.