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:

-417.7570

-430.9290

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[KA]	0.5	0.28	0.3	1.98e-02	6.60%
f[CL]	1	3.23	3	2.27e-01	7.58%
f[V]	15	19.8	20	1.61e-01	0.80%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[PNOISE_STD]	0.2	0.0809	0.1	1.91e-02	19.05%
f[ANOISE_STD]	0.2	0.0373	0.05	1.27e-02	25.37%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[CL_isv]	0.01	0.177	0.2	2.34e-02	11.72%

f[KA] = 0.2802
f[CL] = 3.2273
f[V] = 19.8391
f[PNOISE_STD] = 0.0809
f[ANOISE_STD] = 0.0373
f[CL_isv] = 0.1766

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