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:

-375.4831

-384.2726

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[KA]	0.5	0.316	0.3	1.56e-02	5.19%
f[CL]	1	2.36	3	6.36e-01	21.20%
f[V]	15	19.7	20	2.77e-01	1.39%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[PNOISE_STD]	0.2	0.0984	0.1	1.62e-03	1.62%
f[ANOISE_STD]	0.2	0.0486	0.05	1.37e-03	2.75%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[CL_isv]	0.01	0.303	0.5	1.97e-01	39.43%
f[CL_iov]	0.01	0.00291	0.01	7.09e-03	70.93%

f[KA] = 0.3156
f[CL] = 2.3641
f[V] = 19.7228
f[PNOISE_STD] = 0.0984
f[ANOISE_STD] = 0.0486
f[CL_isv] = 0.3028
f[CL_iov] = 0.0029

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