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Transl Clin Pharmacol. 2016 Dec;24(4):161-168. English. Review. https://doi.org/10.12793/tcp.2016.24.4.161
Bae KS , Yim DS .
Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea. ksbae@amc.seoul.kr
PIPET (Pharmacometrics Institute for Practical Education and Training), College of Medicine, The Catholic University of Korea, Seoul 06591, Korea.
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.

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