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Bayesian analysis of minimal model under the insulin-modified IVGTT

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DOI: 10.4236/health.2010.23027    4,645 Downloads   9,010 Views   Citations


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.

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The authors declare no conflicts of interest.

Cite this paper

Wang, Y. , Eskridge, K. and Galecki, A. (2010) Bayesian analysis of minimal model under the insulin-modified IVGTT. Health, 2, 188-194. doi: 10.4236/health.2010.23027.


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