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Table 4 Variation in identified n K and n L values

From: A graphical method for practical and informative identifiability analyses of physiological models: A case study of insulin kinetics and sensitivity

Noise

0%

1%

3.5%

Saturation

α I = 0.001

α I = 0.05

α I = 0.001

α I = 0.05

α I = 0.001

α I = 0.05

n K

1(0)

1(0)

0.952(0.297)

0.999(0.017)

0.946(0.836)

1.004(0.059)

n L

1(0)

1(0)

1.035(0.214)

1.001(0.008)

1.041(0.595)

1.000(0.028)

  1. The normalised parameter variation (mean(CV)) when n K and n L are identified model parameters with distinct simulated assay error and values for α I . (1(0) indicates perfect convergence to the simulation value)
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