R-based reproduction of the estimation process hidden behind NONMEM® Part 2: First-order conditional estimation.
10.12793/tcp.2016.24.4.161
- Author:
Kyun Seop BAE
1
;
Dong Seok YIM
Author Information
1. Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea. ksbae@amc.seoul.kr
- Publication Type:Review
- Keywords:
R NONMEM FOCE
- MeSH:
Bays;
Methods;
Reproduction*
- From:Translational and Clinical Pharmacology
2016;24(4):161-168
- CountryRepublic of Korea
- Language:English
-
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.
