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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

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.

Conflicts of Interest

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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