Article

Enhancing Pharmacometric Modeling with Full Bayesian Inference and Student’s t-Based M3 Censoring: A Simulated Population PK Study on Robust Handling of Outliers and Censored Data

2025-07-22

Abstract excerpt

Pharmacometric modeling and simulation, with population pharmacokinetic (PopPK) modeling as a key component, play a crucial role in characterizing drug disposition and variability, supporting dose optimization and regulatory decision-making. Traditional maximum likelihood estimation (MLE) methods, although efficient, are sensitive to outliers, particularly when datasets contain observations below the limit of quan...

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Literature Corpus work: 8e3e2176-aa58-554e-bb78-401835d03aa2
DOI: 10.1101/2025.07.17.665409

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Enhancing Pharmacometric Modeling with Full Bayesian Inference and Student’s t-Based M3 Censoring: A Simulated Population PK Study on Robust Handling of Outliers and Censored DataDOI 10.1101/2025.07.17.665409Read

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