Pumas 2.0 Features: Beyond Gaussian Random Effects

On-Demand Webinar

In this webinar, we go through an overview of the Laplace and first order methods commonly used in pharmacometrics to compute the marginal likelihood. We show how these methods can be generalized to handle non-Gaussian random effects and then demonstrate how to define these non-Gaussian random effects in Pumas models and then perform maximum likelihood estimation.

Fed up of defining random effect transformations? Always wanted to use fancier, more flexible, non-symmetric distributions for your random effects? This webinar is for you!

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