An Algorithm for Nonparametric Estimation of a Multivariate Mixing Distribution with Applications to Population Pharmacokinetics

An Algorithm for Nonparametric Estimation of a Multivariate Mixing Distribution with Applications to Population Pharmacokinetics

Population pharmacokinetic (PK) modeling has become a cornerstone of drug development and optimal patient dosing. This approach offers great benefits for datasets with sparse sampling, such as in pediatric patients, and can describe between-patient variability. While most current algorithms assume n...

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Bibliographic Details
Main Authors: Walter M. Yamada, Michael N. Neely, Jay Bartroff, David S. Bayard, James V. Burke, Mike van Guilder, Roger W. Jelliffe, Alona Kryshchenko, Robert Leary, Tatiana Tatarinova, Alan Schumitzky
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Pharmaceutics
Subjects:
mixture distribution
mixture model
high dimensional statistics
nonparametric maximum likelihood
primal-dual interior-point method
adaptive grid
Online Access:https://www.mdpi.com/1999-4923/13/1/42

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https://www.mdpi.com/1999-4923/13/1/42

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