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- W2120368746 abstract "A Bayesian analysis of the minimal model was proposed where both glucose and insulin were analyzed simultaneously under the insulin-modified intravenous glucose tolerance test (IVGTT). The resulting model was implemented with a nonlinear mixed-effects modeling setup using ordinary differential equations (ODEs), which leads to precise estimation of population parameters by separating the inter- and intra-individual variability. The results indicated that the Bayesian method applied to the glucose-insulin minimal model provided a satisfactory solution with accurate parameter estimates which were numerically stable since the Bayesian method did not require approximation by linearization." @default.
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- W2120368746 date "2010-01-01" @default.
- W2120368746 modified "2023-10-16" @default.
- W2120368746 title "Bayesian analysis of minimal model under the insulin-modified IVGTT" @default.
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- W2120368746 doi "https://doi.org/10.4236/health.2010.23027" @default.
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