A Multiple Imputation Workflow for Handling Missing Covariate Data in Pharmacometrics Modeling

ABSTRACT Covariate missingness is a prevalent issue in pharmacometrics modeling. Incorrect handling of missing covariates can lead to biased parameter estimates, adversely affecting clinical practice and drug development dosing decisions. Single imputation is usually favored by pharmacometricians fo...

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Bibliographic Details
Published in:CPT: Pharmacometrics & Systems Pharmacology
Main Authors: My‐Luong Vuong, Geert Verbeke, Erwin Dreesen
Format: Article
Language:English
Published: Wiley 2025-06-01
Subjects:
bias
compartmental analysis
covariates
mixed effect models
nonlinear models
population pharmacokinetics
Online Access:https://doi.org/10.1002/psp4.70039

Internet

https://doi.org/10.1002/psp4.70039

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