Demystifying The Intricacies Of Analysis Datasets And ADaM Standard

Discover how to assemble analysis data, and learn more about the basics of ADaM standards and details of the standard structures for analysis datasets.

Statistical programming expert Georgy Smirnov, Head of Statistical Programming at OCT Clinical, will expand on how to build analysis datasets and explain how ADaM datasets should structurally look like.

At the webinar you will learn:

• What is an Analysis Dataset. Goals and types of ADaM Datasets (ADSL, BDS, OCCDS)
• ADaM in the CDISC World
• Implementation strategies that work for a given analysis situation
• Why does FDA want ADaM
• Summary of the most recent updates to ADaM standards
• Examples and must-know analysis datasets issues

Who will benefit:

• Statistical programmers
• Biostatisticians
• Data scientists
• Regulatory managers
• Medical/scientific officers
• Project managers
• Regulatory managers
• Procurement specialists

Speaker’s Bio

Georgiy is a highly experienced specialist with over 20 years’ experience in statistical programming. Georgiy started his career in clinical research as an SAS programmer at Parexel International and managed to make his way up to the Senior Manager position, where he was responsible for the Statistical Programming team. At OCT Clinical he is responsible for supervising department activities and processes related to SAS programming. He also mentors the department staff on SAS programming and related matters, including CDISC standards.