Evaluation of machine learning methods for covariate data imputation in pharmacometrics

Abstract Missing data create challenges in clinical research because they lead to loss of statistical power and potentially to biased results. Missing covariate data must be handled with suitable approaches to prepare datasets for pharmacometric analyses, such as population pharmacokinetic and pharm...

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Bibliographic Details
Main Authors: Dominic Stefan Bräm, Uri Nahum, Andrew Atkinson, Gilbert Koch, Marc Pfister
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:CPT: Pharmacometrics & Systems Pharmacology
Online Access:https://doi.org/10.1002/psp4.12874

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