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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] = 0.2686
f[CL] = 2.0908
f[V] = 18.1651
f[PNOISE_STD] = 0.0889
f[ANOISE_STD] = 0.0486
f[CL_isv] = 0.2834
f[CL_iov] = 0.0105

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-352.8548

Final fitted objective value

-365.3289

Compare Main f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[KA] 0.5 0.269 0.3 10.46% 3.14e-02
f[CL] 1 2.09 3 30.31% 9.09e-01
f[V] 15 18.2 20 9.17% 1.83e+00

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[PNOISE_STD] 0.2 0.0889 0.1 11.06% 1.11e-02
f[ANOISE_STD] 0.2 0.0486 0.05 2.79% 1.40e-03

Compare Variance f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[CL_isv] 0.01 0.283 0.5 43.31% 2.17e-01
f[CL_iov] 0.01 0.0105 0.01 5.18% 5.18e-04
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