In conclusion, the comparison of RSE predicted by PFIM to RSE computed without any linearization by SAEM as well as to RSE obtained from the simulation study, supports the appropriateness of the approximated Fisher information matrix for multiple response models. Its implementation in PFIM 3.0 provides a useful computing tool for design evaluation and optimization in the development of PKPD or PK studies.
ACKNOWLEDGEMENTS
Part of this work was supported by a grant from F. Hoffmann La Roche Ltd, Basel, Switzerland. The authors would like to acknowledge Pr Marc Lavielle for his help regarding the use of the MONOLIX software as well as the IFR02 of INSERM and Hervé Le Nagard for the use of the “centre de biomodélisation”.
inserm-00371363, version 1 - 27 Mar 2009