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  • UPCOMING LIVE!
    Contains 1 Component(s) Includes a Live Web Event on 05/28/2026 at 12:00 PM (EDT)

    This talk will cover how to evaluate and optimize clinical trial designs using the Fisher Information Matrix (FIM), as implemented in tools like NONMEM's $DESIGN and PopED. While clinical trial simulation is a powerful approach for assessing design characteristics, such as model identifiability, parameter precision, and even type I error and power, FIM-based evaluation offers a faster alternative that enables exploration of many more designs and makes true design optimization feasible. A number of examples will be presented to show how design evaluation and optimization can be useful in a model-informed drug development context. Robust design techniques that account for uncertainty in models and model parameters will also be discussed.