Disease progression modeling synthesizes statistics with disease knowledge and data to inform predictions and understanding of disease course in populations and subpopulations and is commonly used in model-informed drug development. Using examples from rare and orphan diseases, this webinar looks to break down the high-level ideas behind disease progression models, exploring what they are, what they do, and why they are useful.
