Independent-model diagnostics for a priori identification and interpretation of outliers from a full pharmacokinetic database: correspondence analysis, Mahalanobis distance and Andrews curves

Stijn Vogels · Journal of Pharmacokinetics and Pharmacodynamics · 2008

Summary

This paper presents three multivariate statistical methods to diagnose the outliers within a full population PK dataset, prior to any modelling step, and a significant positive trend was found between the number of times outlier concentrations were detected and the NPDE metrics of these concentrations (after a PK modelling).

Type: article
Published: 2008-02-22
Cited by: 2
References: 35
DOI: https://doi.org/10.1007/s10928-007-9082-0
PubMed: https://pubmed.ncbi.nlm.nih.gov/18293065/
OpenAlex: https://openalex.org/W18293065
Semantic Scholar: https://api.semanticscholar.org/CorpusID:7745306

Keywords

Art

References

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Cited by

Model evaluation in nonlinear mixed effect models, with applications to pharmacokineticsEmmanuelle Comets, Karl Brendel — 2010

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