One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
Name: | dep_one_cmp_cl_isv |
---|---|
Title: | One Compartment Model with Absorption and Inter-subject Variance f[CL_isv]=0.2 |
Author: | Wright Dose Ltd |
Abstract: |
Population one Compartment Model with Absorption and Inter-subject Variance
Keywords: | one compartment model; dep_one_cmp_cl |
---|---|
Input Script: | dep_one_cmp_cl_isv_fit.pyml |
Input Data: | synthetic_data.csv |
Diagram: |
Initial fixed effect estimates¶
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
Outputs¶
Final fitted fixed effects¶
f[KA] = 1.0000
f[CL] = 2.5556
f[V] = 22.1555
f[PNOISE_STD] = 0.2308
f[ANOISE_STD] = 0.0372
f[CL_isv] = 0.1279
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¶
Comparison¶
Compare Main f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[KA] | 1.0000 | 0.5000 | 1.0000 | 0.5000 |
f[CL] | 2.5556 | 1.0000 | 1.5556 | 1.5556 |
f[V] | 22.1555 | 15.0000 | 0.4770 | 7.1555 |
Compare Noise f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE_STD] | 0.2308 | 0.2000 | 0.1539 | 0.0308 |
f[ANOISE_STD] | 0.0372 | 0.2000 | 0.8142 | 0.1628 |
Compare Variance f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[CL_isv] | 0.1279 | 0.0100 | 11.7893 | 0.1179 |