One Compartment Model with Absorption estimating KA, V and CL¶
[Generated automatically as a Fitting summary]
Model Description¶
| Name: | d1cmp_ka_v_cl_stderr |
|---|---|
| Title: | One Compartment Model with Absorption estimating KA, V and CL |
| Author: | PoPy for PK/PD |
| Abstract: |
One Compartment Model with Absorption compartment with rate (KA).
Elimination rate parametrised by clearance (CL)
and volume of distribution (V).
Model specification uses incremental flows
| Keywords: | dep_one_cmp_cl; one compartment model |
|---|---|
| Input Script: | d1cmp_ka_v_cl_stderr_fit.pyml |
| Diagram: |
Comparison¶
Compare Main f[X]¶
| Variable Name | Starting Value | Fitted Value | Abs Change | Prop Change |
|---|---|---|---|---|
| f[KA] | 0.3000 | 0.2738 | 0.0262 | 0.0872 |
| f[V] | 20.0000 | 17.9983 | 2.0017 | 0.1001 |
| f[CL] | 3.0000 | 3.2389 | 0.2389 | 0.0796 |
Compare Noise f[X]¶
Compare Variance f[X]¶
Population simulated (sim) plots¶
|
indOBS_vs_TIME |
Outputs¶
Fitted f[X] values (after fitting)¶
f[KA] = 0.2738
f[V] = 17.9983
f[CL] = 3.2389
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] = 0.3000
f[V] = 20.0000
f[CL] = 3.0000