Hierarchical deep compartment modeling: A workflow to leverage machine learning and Bayesian inference for hierarchical pharmacometric modeling

• Main Authors: Ahmed Elmokadem (Author), Matthew Wiens (Author), Timothy Knab (Author), Kiersten Utsey (Author), Samuel P. Callisto (Author), Daniel Kirouac (Author)
• Format: Book
• Published: Wiley, 2024-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Population pharmacokinetic (PK) modeling serves as the cornerstone for understanding drug behavior within a specific population. It integrates subject covariates to elucidate the variability in PK parameters, thus enhancing predictive accuracy. However, covariate modeling within this framew...