One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2

[Generated automatically as a Fitting summary]

Inputs

Description

Name:dep_one_cmp_cl_iov Title:One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2 Author:Wright Dose Ltd Abstract:

Population one Compartment Model with Absorption and Inter-occasion Variance

Keywords:one compartment model; dep_one_cmp_cl; iov Input Script:dep_one_cmp_cl_iov_fit.pyml Input Data:synthetic_data.csv Diagram:

Initial fixed effect estimates

f[KA] = 0.5
f[CL] = 1
f[V] = 15
f[PNOISE_STD] = 0.2
f[ANOISE_STD] = 0.2
f[CL_isv] = 0.01
f[CL_iov] = 0.01

Outputs

Final objective value

-276.234851705

which required 26 iterations and took 149.41 seconds

Final fitted fixed effects

f[KA] = 1
f[CL] = 2.2203
f[V] = 20.724
f[PNOISE_STD] = 0.21306
f[ANOISE_STD] = 0.052026
f[CL_isv] = 0.072757
f[CL_iov] = 0.1003

Fitted parameter .csv files

Fixed Effects:fx_params.csv (fit) Random Effects:rx_params.csv (fit) Model params:mx_params.csv (fit) State values:sx_params.csv (fit) Predictions:px_params.csv (fit)

Plots

Dense sim plots

Alternatively see All dense_sim graph plots

Comparison

Compare Main f[X]

Variable Name	Fitted Value	Starting Value	Prop Change	Abs Change
f[KA]	1	0.5	1	0.5
f[CL]	2.2203	1	1.2203	1.2203
f[V]	20.7242	15	0.381611	5.72416

Compare Noise f[X]

Variable Name	Fitted Value	Starting Value	Prop Change	Abs Change
f[PNOISE_STD]	0.213057	0.2	0.0652843	0.0130569
f[ANOISE_STD]	0.0520259	0.2	0.739871	0.147974

Compare Variance f[X]

Variable Name	Fitted Value	Starting Value	Prop Change	Abs Change
f[CL_isv]	0.072757	0.01	6.2757	0.062757
f[CL_iov]	0.100297	0.01	9.02969	0.0902969