• Language: en

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
Back to Top