One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
| Name: | dep_one_cmp_cl_iov_naive |
|---|---|
| Title: | One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0 |
| Author: | Wright Dose Ltd |
| 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: | dep_one_cmp_cl_iov_naive_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
Outputs¶
Final fitted fixed effects¶
f[KA] = 1
f[CL] = 2.1462
f[V] = 22.086
f[PNOISE_STD] = 0.46359
f[ANOISE_STD] = 0.061732
f[CL_isv] = 4.2967
f[CL_iov] = 0
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 | 0.5 | 1 | 0.5 |
| f[CL] | 2.14619 | 1 | 1.14619 | 1.14619 |
| f[V] | 22.0861 | 15 | 0.472407 | 7.08611 |
Compare Noise f[X]¶
| Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[PNOISE_STD] | 0.463588 | 0.2 | 1.31794 | 0.263588 |
| f[ANOISE_STD] | 0.0617322 | 0.2 | 0.691339 | 0.138268 |
Compare Variance f[X]¶
| Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[CL_isv] | 4.29671 | 0.01 | 428.671 | 4.28671 |