Literature DB >> 35927373

Variability and uncertainty: interpretation and usage of pharmacometric simulations and intervals.

Chuanpu Hu1.   

Abstract

Variability and estimation uncertainty are important sources of variation in pharmacometric simulations. Different combinations of uncertainty and the variability components lead to a variety types of simulation intervals, and many realized and unrealized confusions exist among pharmacometricians on their interpretation and usage. This commentary aims to clarify some of the important underlying concepts and provide a convenient guideline on pharmacometric simulation conduct and interpretation.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Confidence interval; Model informed drug development; Prediction interval; Virtual population; Visual predictive check

Year:  2022        PMID： 35927373     DOI： 10.1007/s10928-022-09817-9

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN： 1567-567X            Impact factor:   2.410


  7 in total

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5.  Assessing goodness-of-fit for evaluation of dose-proportionality.

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Journal:  Pharm Stat       Date:  2020-10-15       Impact factor: 1.894

6.  The importance of modeling interoccasion variability in population pharmacokinetic analyses.

Authors:  M O Karlsson; L B Sheiner
Journal:  J Pharmacokinet Biopharm       Date:  1993-12

7.  Evaluating pharmacokinetic/pharmacodynamic models using the posterior predictive check.

Authors:  Y Yano; S L Beal; L B Sheiner
Journal:  J Pharmacokinet Pharmacodyn       Date:  2001-04       Impact factor: 2.745
  7 in total

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