Assessment of the Oral Glucose Minimal Model by Nonlinear Mixed-effects Approaches
نویسندگان
چکیده
The oral minimal model (OMM) has been proposed and validated at individual level [1] to estimate after an oral glucose perturbation the rate of appearance of glucose (Ra) and the insulin sensitivity (SI). As commonly done in metabolic modeling, the OMM parameters are estimated by weighted nonlinear least square (WNLS) separately in each subject. Due to the complexity of the model, parameter precision is sometimes not satisfactory, especially in a “data poor” situation.
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