One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0¶
[Generated automatically as a Fitting summary]
Model Description¶
| Name: | d1cmp_cl_isv_naive |
|---|---|
| Title: | One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0 |
| Author: | PoPy for PK/PD |
| 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: | d1cmp_cl_isv_naive_fit.pyml |
| Diagram: |
Comparison¶
Compare Main f[X]¶
| Variable Name | Starting Value | Fitted Value | Abs Change | Prop Change |
|---|---|---|---|---|
| f[KA] | 0.5000 | 0.2086 | 0.2914 | 0.5827 |
| f[CL] | 1.0000 | 3.0963 | 2.0963 | 2.0963 |
| f[V] | 15.0000 | 14.8105 | 0.1895 | 0.0126 |
Compare Noise f[X]¶
| Variable Name | Starting Value | Fitted Value | Abs Change | Prop Change |
|---|---|---|---|---|
| f[PNOISE_STD] | 0.2000 | 0.3767 | 0.1767 | 0.8834 |
| f[ANOISE_STD] | 0.2000 | 0.1619 | 0.0381 | 0.1907 |
Compare Variance f[X]¶
Population simulated (sim) plots¶
|
allOBS_vs_TIME |
Outputs¶
Fitted f[X] values (after fitting)¶
f[KA] = 0.2086
f[CL] = 3.0963
f[V] = 14.8105
f[PNOISE_STD] = 0.3767
f[ANOISE_STD] = 0.1619
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) |
| Likelihoods: | lx_params.csv (fit) |
Inputs¶
| Input Data: | cx_obs_params.csv |
|---|
Starting f[X] values (before fitting)¶
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