Research ArticlesA Pharmacokinetic/Pharmacodynamic Comparison of SAAM II and PC/WinNonlin Modeling Software
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2019, Acta Pharmaceutica Sinica BCitation Excerpt :An average concentration of triplicate was used for data analysis. Pharmacokinetic parameters were calculated by non-compartment analysis using the WinNonlin software (Mountain View, CA, USA)22. APP/PS1 double transgenic mice (7–8 months old) were randomly divided into 9 groups (n = 9): the AD control group (AD), the CQ/NC-siRNA group (NC, 80 µg siRNA/mouse), the M/BACE1-siRNA group (M, 80 µg siRNA/mouse), the Q/BACE1-siRNA group (Q, 80 µg siRNA/mouse), the C/BACE1-siRNA middle-dose (CM, 50 µg siRNA/mouse) and high-dose (CH, 80 µg siRNA/mouse) group, the CQ/BACE1-siRNA low-dose (CQL, 30 µg siRNA/mouse), middle-dose (CQM, 50 µg siRNA/mouse) and high-dose (CQH, 80 µg siRNA/mouse) group.
MATLAB-implemented estimation procedure for model-based assessment of hepatic insulin degradation from standard intravenous glucose tolerance test data
2013, Computer Methods and Programs in BiomedicineCitation Excerpt :The starting algorithm is the GNA because it is simpler and faster; and the more robust LMA takes over in case of GNA failure (Fig. 6). Thus, the alternating action of GMA and LMA allowed to find a solution for our optimization problem even when it started very far off the final minimum (no procedure failure, in our attempts on eighteen subjects), and to reduce computational time to value similar to those obtained in SAAM II, whose optimizer is based on the Gauss–Newton method alone [14]. Also for the solution of the initial value problem, a specific choice has been done, indicating the ode15s as the most suitable MATLAB solver function for the given problem.
Facilitating pharmacometric workflow with the metrumrg package for R
2013, Computer Methods and Programs in BiomedicineCitation Excerpt :Options for data handling and visualization include R, SPLUS, SYSTAT, SPSS, MATLAB, SAS, etc. Options for modeling and simulation include mixed-effects tools such as NONMEM [1], NLME [2], WinNonLin [3], Monolix [4], PDx-MCPEM [5], S-ADAPT [6] and ADAPT [7] or Bayesian tools such as WinBUGS [8]. Reports are typically authored using Latex tools or Microsoft Word®.
Multi-compartmental modelling and experimental designs for glucose transport study in insulin-resistant rat
2002, Comptes Rendus - BiologiesAn evaluation of extended vs weighted least squares for parameter estimation in physiological modeling
2001, Journal of Biomedical Informatics