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The extension from ordinary to stochastic differential equations (SDEs) in pharmacokinetic and pharmacodynamic (PK/PD) modelling is an emerging field and has been motivated in a number of articles [N.R. Kristensen, H. Madsen, S.H. Ingwersen, Using stochastic differential equations for PK/PD model development, J. Pharmacokinet. Pharmacodyn. 32 (February(1))(More)
The non-linear mixed-effects model based on stochastic differential equations (SDEs) provides an attractive residual error model, that is able to handle serially correlated residuals typically arising from structural mis-specification of the true underlying model. The use of SDEs also opens up for new tools for model development and easily allows for(More)
This thesis describes the development of a software prototype implemented in Matlab for non-linear mixed effects modelling based on stochastic differential equations (SDEs). The setup aims at modelling measurements originating from more than one individual and it represents a powerful way of modelling systems with complicated and partially unknown dynamics.(More)
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