ArticleJournal of pharmacokinetics and pharmacodynamics2026
Evaluation of a model averaging algorithm for model-informed precision dosing in the context of parameter misspecifications.
Article in Journal of pharmacokinetics and pharmacodynamics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
A primary challenge for integrating model-informed precision dosing (MIPD) in clinical settings is selecting the best-fit model for newly presented patients. A model averaging algorithm (MAA) proposed by Uster et al., addresses this by leveraging multiple models simultaneously. As the 'library' of population pharmacokinetic models for a given therapeutic expands, an understanding of how model misspecifications influence MAA can provide insight to guide the optimal selection of model combinations. The present simulation study evaluated the impact of parameter model misspecifications on MAA performance across three scenarios: (1) misspecified structural parameter (θ
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