J.PKPD
- 目白押し
- Kaila, et al. (2007), "Mixture Models and Subpopulation Classification: A Pharmacokinetic Simulation Study and Application to Metoprolol CYP2D6 Phenotype"
- Lemenuel-diot, Laveille, Frey, Jochemsen and Mallet (2007), "Mixture Modeling for the Detection of Subpopulations in a Pharmacokinetic/Pharmacodynamic analysis"
- Vermeulen, Piotrovsky and Ludwig (2007), "Population Pharmacokinetics of Risperidone and 9-Hydroxyrisperidone in Patients with Acute Episodes Associated with Bipolar I Disorder"
- 必読
- Daimon, Yamada and Goto (2007), "Assessing Nonlinearity in Compartment Models via the Relative Curvature Measure"
- 必読。Daimon 先生、おめでとうございます。
- Lavielle and Mentre (2007), "Estimation of Population Pharmacokinetic Parameters of Saquinavir in HIV Patients with the MONOLIX Software"
Kuhn and Lavielle (Comput. Statist. Data Anal. 49:1020?1038 (2005)) developed an estimation method which combines the SAEM (Stochastic Approximation EM) algorithm, with a MCMC (Markov Chain Monte Carlo) procedure for maximum likelihood estimation in nonlinear mixed-effects models without linearization. This method is implemented in the Matlab software MONOLIX which is available at http://www.math.u-psud.fr/~lavielle/monolix/logiciels.
