One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
| Name: | dep_one_cmp_cl_isv_naive |
|---|---|
| Title: | One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0 |
| Author: | Wright Dose Ltd |
| Abstract: |
Population one Compartment Model with Absorption and Inter-subject Variance
Here f[CL_isv] is not estimated it is set to zero.
| Keywords: | one compartment model; dep_one_cmp_cl |
|---|---|
| Input Script: | dep_one_cmp_cl_isv_naive_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] = 0.0000
Outputs¶
Final fitted fixed effects¶
f[KA] = 0.1818
f[CL] = 2.5518
f[V] = 20.1377
f[PNOISE_STD] = 0.4966
f[ANOISE_STD] = 0.1279
f[CL_isv] = 0.0000
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 | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[KA] | 0.5000 | 0.1818 | 0.6364 | 0.3182 |
| f[CL] | 1.0000 | 2.5518 | 1.5518 | 1.5518 |
| f[V] | 15.0000 | 20.1377 | 0.3425 | 5.1377 |
Compare Noise f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[PNOISE_STD] | 0.2000 | 0.4966 | 1.4829 | 0.2966 |
| f[ANOISE_STD] | 0.2000 | 0.1279 | 0.3605 | 0.0721 |