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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:

Failed to create compartment diagram

True f[X] values

f[KA] = 0.3
f[CL] = 3
f[V] = 20
f[PNOISE_STD] = 0.1
f[ANOISE_STD] = 0.05
f[CL_isv] = 0.5
f[CL_iov] = 0.01

Starting f[X] values

f[KA] = 0.5
f[CL] = 1
f[V] = 15
f[PNOISE_STD] = 0.2
f[ANOISE_STD] = 0.2
f[CL_isv] = 0.01
f[CL_iov] = 0.01

Outputs

Fitted f[X] values

f[KA] = 1
f[CL] = 1.8485
f[V] = 20.257
f[PNOISE_STD] = 0.21347
f[ANOISE_STD] = 0.047715
f[CL_isv] = 0.27007
f[CL_iov] = 0.008566

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-352.854494995

Final fitted objective value

-276.597501804

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 1.85 3 38.38% 1.15e+00
f[V] 15 20.3 20 1.28% 2.57e-01

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[PNOISE_STD] 0.2 0.213 0.1 113.47% 1.13e-01
f[ANOISE_STD] 0.2 0.0477 0.05 4.57% 2.29e-03

Compare Variance f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[CL_isv] 0.01 0.27 0.5 45.99% 2.30e-01
f[CL_iov] 0.01 0.00857 0.01 14.34% 1.43e-03
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