One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5¶

[Generated automatically as a Tutorial summary]

Model Description¶

Name:	d1cmp_cl_iov_05
Title:	One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5
Author:	PoPy for PK/PD
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:	`d1cmp_cl_iov_05.pyml`
Diagram:

-408.3811

-414.4636

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[KA]	0.5	0.331	0.3	3.09e-02	10.29%
f[CL]	1	3.46	3	4.61e-01	15.38%
f[V]	15	19.8	20	2.14e-01	1.07%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[PNOISE_STD]	0.2	0.0921	0.1	7.86e-03	7.86%
f[ANOISE_STD]	0.2	0.0507	0.05	7.22e-04	1.44%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[CL_isv]	0.01	0.509	0.5	8.68e-03	1.74%
f[CL_iov]	0.01	0.00704	0.01	2.96e-03	29.55%

f[KA] = 0.3309
f[CL] = 3.4613
f[V] = 19.7861
f[PNOISE_STD] = 0.0921
f[ANOISE_STD] = 0.0507
f[CL_isv] = 0.5087
f[CL_iov] = 0.0070

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] = 0.5000
f[CL_iov] = 0.0100

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