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:

-139.6177

-321.1784

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[KA]	0.5	0.286	0.3	1.36e-02	4.55%
f[CL]	1	3.29	3	2.91e-01	9.71%
f[V]	15	19.2	20	7.57e-01	3.79%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[PNOISE_STD]	0.2	0.313	0.1	2.13e-01	213.37%
f[ANOISE_STD]	0.2	0.0572	0.05	7.21e-03	14.43%

Name	Initial	Fitted	True	Abs. Error	Prop. Error
f[CL_isv]	0.01	0.193	0.2	7.35e-03	3.67%

f[KA] = 0.2864
f[CL] = 3.2913
f[V] = 19.2429
f[PNOISE_STD] = 0.3134
f[ANOISE_STD] = 0.0572
f[CL_isv] = 0.1927
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