One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0¶

[Generated automatically as a Tutorial summary]

Model Description¶

Name:	d1cmp_cl_iov_naive
Title:	One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0
Author:	PoPy for PK/PD
Abstract:

Population one Compartment Model with Absorption and Inter-occasion Variance

Here f[CL_iov] is not estimated it is set to zero.

Keywords:	one compartment model; dep_one_cmp_cl; iov
Input Script:	`d1cmp_cl_iov_naive.pyml`
Diagram:

-43.9474

-253.7337

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[KA]	0.5	0.32	0.3	2.02e-02	6.74%
f[CL]	1	2.53	3	4.65e-01	15.50%
f[V]	15	21	20	9.76e-01	4.88%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[PNOISE_STD]	0.2	0.23	0.1	1.30e-01	129.67%
f[ANOISE_STD]	0.2	0.0976	0.05	4.76e-02	95.13%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[CL_isv]	0.01	0.14	0.2	6.05e-02	30.25%

f[KA] = 0.3202
f[CL] = 2.5349
f[V] = 20.9761
f[PNOISE_STD] = 0.2297
f[ANOISE_STD] = 0.0976
f[CL_isv] = 0.1395
f[CL_iov] = 0.0000

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[CL_iov] = 0.1000

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] = 0.0000