Korean J Physiol Pharmacol.  2012 Apr;16(2):97-106. 10.4196/kjpp.2012.16.2.97.

Standard Error of Empirical Bayes Estimate in NONMEM(R) VI

Affiliations
  • 1Pfizer Worldwide Biopharmaceutical Businesses - La Jolla, San Diego, CA 92111, USA.
  • 2Asan Medical Center, University of Ulsan, Seoul 138-736, Korea. ksbae@amc.seoul.kr
  • 3Uppsala University, Uppsala 75105, Sweden.

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.

Keyword

NONMEM; Standard error of empirical bayes estimate; Nonlinear mixed effects modeling
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