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One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5

[Generated automatically as a Tutorial summary]

Inputs

Description

Name:dep_one_cmp_cl_iov_05
Title:One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5
Author:Wright Dose Ltd
Abstract:
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_isv] true value is 0.5
Keywords:one compartment model; dep_one_cmp_cl; iov
Input Script:dep_one_cmp_cl_iov_05.pyml
Diagram:

True f[X] values

f[KA] = 0.3000
f[CL] = 3.0000
f[V] = 20.0000
f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0500
f[CL_isv] = 0.5000
f[CL_iov] = 0.0100

Starting f[X] values

f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[PNOISE_STD] = 0.2000
f[ANOISE_STD] = 0.2000
f[CL_isv] = 0.0100
f[CL_iov] = 0.0100

Outputs

Fitted f[X] values

f[KA] = 1.0000
f[CL] = 1.9217
f[V] = 20.2630
f[PNOISE_STD] = 0.2081
f[ANOISE_STD] = 0.0480
f[CL_isv] = 0.2662
f[CL_iov] = 0.0084

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-352.8550

Final fitted objective value

-276.7600

Compare Main f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[KA] 0.5 1 0.3 233.33% 7.00e-01
f[CL] 1 1.92 3 35.94% 1.08e+00
f[V] 15 20.3 20 1.32% 2.63e-01

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[PNOISE_STD] 0.2 0.208 0.1 108.09% 1.08e-01
f[ANOISE_STD] 0.2 0.048 0.05 3.97% 1.98e-03

Compare Variance f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[CL_isv] 0.01 0.266 0.5 46.77% 2.34e-01
f[CL_iov] 0.01 0.00845 0.01 15.50% 1.55e-03
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