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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | CPT: Pharmacometrics & Systems Pharmacology |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/psp4.70039 |
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