Kyun-Seop Bae; Dong-Seok Yim

doi:10.12793/tcp.2016.24.4.161

Journal List > Transl Clin Pharmacol > v.24(4) > 1082631

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This article has been corrected. See "Erratum: R-based reproduction of the estimation process hidden behind NONMEM Part 2: First-order conditional estimation" in Volume 26 on page 99.

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Bae and Yim: R-based reproduction of the estimation process hidden behind NONMEM® Part 2: First-order conditional estimation

Original Article

Translational and Clinical Pharmacology 2016;24(4):161-168.

Published online: 19 January 2016

DOI: https://doi.org/10.12793/tcp.2016.24.4.161

R-based reproduction of the estimation process hidden behind NONMEM® Part 2: First-order conditional estimation

Kyun-Seop Bae^∗,¹, Dong-Seok Yim²

¹Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea

²PIPET (Pharmacometrics Institute for Practical Education and Training), College of Medicine, The Catholic University of Korea, Seoul 06591, Korea

^∗Correspondence: K.S. Bae; Tel: +82-2-3010-4611, Fax: +82-2-3010-4623, E-mail: ksbae@amc.seoul.kr

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The first-order conditional estimation (FOCE) method is more complex than the first-order (FO) approximation method because it estimates the empirical Bayes estimate (EBE) for each iteration. By contrast, it is a further approximation of the Laplacian (LAPL) method, which uses second-order expansion terms. FOCE without INTERACTION can only be used for an additive error model, while FOCE with INTERACTION (FOCEI) can be used for any error model. The formula for FOCE without INTERACTION can be derived directly from the extension of the FO method, while the FOCE with INTERACTION method is a slight simplification of the LAPL method. Detailed formulas and R scripts are presented here for the reproduction of objective function values by NONMEM.

Keywords: R NONMEM FOCE

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