Standard Error of Empirical Bayes Estimate in NONMEM(R) VI.
10.4196/kjpp.2012.16.2.97
- Author:
Dongwoo KANG
1
;
Kyun Seop BAE
;
Brett E HOUK
;
Radojka M SAVIC
;
Mats O KARLSSON
Author Information
1. Pfizer Worldwide Biopharmaceutical Businesses - La Jolla, San Diego, CA 92111, USA.
- Publication Type:Original Article
- Keywords:
NONMEM;
Standard error of empirical bayes estimate;
Nonlinear mixed effects modeling
- MeSH:
Bays
- From:The Korean Journal of Physiology and Pharmacology
2012;16(2):97-106
- CountryRepublic of Korea
- Language:English
-
Abstract:
The pharmacokinetics/pharmacodynamics analysis software NONMEM(R) 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(R) 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.
