This 90-minute, self-paced course introduces core concepts from ICH E9 and ICH E9(R1) and explores how these principles are applied in practice through the risk-based, quality-focused approach emphasized in ICH E6(R3).
Designed for non-statisticians, the course focuses on practical understanding rather than mathematical detail. Learners examine key concepts such as variability and uncertainty, bias, randomization and blinding, hypothesis testing, and analysis strategies, as well as how treatment effects are defined using estimands.
The course also explores how intercurrent events and missing data are addressed, why sensitivity analyses are essential for evaluating robustness, and how trial conduct and documentation decisions influence data integrity and the credibility of trial conclusions. By the end of the course, learners are better equipped to support high-quality, interpretable clinical trials aligned with current regulatory expectations.
At the end of this course, participants should be able to:
Approved for 1.5 ACRP Contact Hours | Available 1 Year from Enrollment Date