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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] = 1.8764
f[V] = 19.6864
f[PNOISE_STD] = 0.2153
f[ANOISE_STD] = 0.0468
f[CL_isv] = 0.2677
f[CL_iov] = 0.0084

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

-352.8545

Final fitted objective value

-276.4412

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 1.88 3 37.45% 1.12e+00
f[V] 15 19.7 20 1.57% 3.14e-01

Compare Noise f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[PNOISE_STD] 0.2 0.215 0.1 115.30% 1.15e-01
f[ANOISE_STD] 0.2 0.0468 0.05 6.41% 3.21e-03

Compare Variance f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[CL_isv] 0.01 0.268 0.5 46.46% 2.32e-01
f[CL_iov] 0.01 0.00843 0.01 15.67% 1.57e-03
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