Bayesian analysis of minimal model under the insulin-modified IVGTT

HTML  Download Download as PDF (Size: 184KB)  PP. 188-194  
DOI: 10.4236/health.2010.23027    5,423 Downloads   10,333 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.

Share and Cite:

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.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.