Global ETD Search
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Showing 1 to 4 of 4 for “"NLME"”.
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Integrating nonlinear mixed effects and physiologically–based modeling approaches for the analysis of repeated measurement studies
… measurement data is the nonlinear mixed effect (NLME) approach. At the same time, ample knowledge about the drug's properties already exists and has been accumulating during the discovery & development process: Before any drug is tested in humans, detailed knowledge about the PK in different …
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Bayesian Approach Dealing with Mixture Model Problems
… is related to the nonlinear mixed effects model (NLME). Typically a parametric NLME model requires strong assumptions which make the model less flexible and often are not satisfied in real applications. To allow the NLME model to have more flexible assumptions, we present three semiparametric …
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Multivariate muti-level non-linear mixed-effect models and their application to the modeling of drug-concentration time curves
… in the fitting of nonlinear mixed effect (NLME) models. In particular, it looks at the application of these techniques to the analysis of concentration-time data for the aforementioned antimalarial compounds, and details the necessary extensions to the basic modeling process that were …
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Preclinical pharmacokinetic evaluation of novel antimalarial and antituberculosis drug leads
… approaches such as non-linear mixed effects (NLME) modelling in comparison with traditional non-compartmental analysis. Where appropriate, pharmacokinetic methods were expanded to include organ distribution and capsule dosing in mice to bridge our techniques from discovery to early …