Standard Error of Empirical Bayes Estimate in NONMEM® VI.

The Korean Journal of Physiology & Pharmacology : Official Journal of the Korean Physiological Society and the Korean Society of Pharmacology
Dongwoo KangMats O Karlsson

Abstract

The pharmacokinetics/pharmacodynamics analysis software NONMEM® output provides model parameter estimates and associated standard errors. However, the standard error of empirical Bayes estimates of inter-subject variability is not available. A simple and direct method for estimating standard error of the empirical Bayes estimates of inter-subject variability using the NONMEM® VI internal matrix POSTV is developed and applied to several pharmacokinetic models using intensively or sparsely sampled data for demonstration and to evaluate performance. The computed standard error is in general similar to the results from other post-processing methods and the degree of difference, if any, depends on the employed estimation options.

References

Jan 1, 1989·Comparative Biochemistry and Physiology. A, Comparative Physiology·A M Beal
Apr 24, 1999·Journal of Pharmacokinetics and Biopharmaceutics·K ParkL B Sheiner
Jan 24, 2002·Therapeutic Drug Monitoring·Gérard PonsYann Merlé
Jun 16, 2007·Clinical Pharmacology and Therapeutics·M O Karlsson, R M Savic
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Aug 4, 2009·The AAPS Journal·Radojka M Savic, Mats O Karlsson
Jan 25, 2012·Journal of Pharmacokinetics and Pharmacodynamics·B D LacroixM O Karlsson

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Citations

Oct 11, 2015·Journal of Pharmacokinetics and Pharmacodynamics·Anders N KristofferssonJoakim Nyberg
Jun 28, 2017·Clinical Pharmacology and Therapeutics·Sven C van DijkmanOscar E Della Pasqua
Aug 4, 2021·CPT: Pharmacometrics & Systems Pharmacology·Félicien Le LouedecMélanie White-Koning

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Software Mentioned

ROCM36
NONMEM® VI
POSTV
NONPAR
MS
ADVAN2
PsN
ZXMIN1
R
Compaq Visual Fortran

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