One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2¶

[Generated automatically as a Tutorial summary]

Model Description¶

Name:	d1cmp_cl_isv
Title:	One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2
Author:	PoPy for PK/PD
Abstract:

Population one Compartment Model with Absorption and Inter-subject Variance

Keywords:	one compartment model; dep_one_cmp_cl
Input Script:	`d1cmp_cl_isv.pyml`
Diagram:

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Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[KA]	0.5	0.302	0.3	1.91e-03	0.64%
f[CL]	1	3.3	3	2.98e-01	9.95%
f[V]	15	19.6	20	3.51e-01	1.76%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[PNOISE_STD]	0.2	0.0712	0.1	2.88e-02	28.79%
f[ANOISE_STD]	0.2	0.0545	0.05	4.48e-03	8.96%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[CL_isv]	0.01	0.184	0.2	1.57e-02	7.84%

f[KA] = 0.3019
f[CL] = 3.2984
f[V] = 19.6487
f[PNOISE_STD] = 0.0712
f[ANOISE_STD] = 0.0545
f[CL_isv] = 0.1843

Synthetic Data:	`synthetic_data.csv`

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] = 0.2000

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