Direct PD Model Simultaneous PK/PD Parameter fit¶
[Generated automatically as a Tutorial summary]
Model Description¶
| Name: | direct_pd_simul |
|---|---|
| Title: | Direct PD Model Simultaneous PK/PD Parameter fit |
| Author: | PoPy for PK/PD |
| Abstract: |
A simple direct PD Model, based on the amount of drug in the body. That simultaneously fits PK and PD parameters.
The amount in the central compartment is determined by K, which has been previously estimated for each individual.
The amount in the central compartment influences the rate of removal of a biomarker (KOUT).
| Keywords: | pd; one compartment model; direct |
|---|---|
| Input Script: | direct_pd_simul_tut.pyml |
| Diagram: |
Comparison¶
True objective value¶
-203.7595
Final fitted objective value¶
386.6144
Compare Main f[X]¶
| Name | Initial | Fitted | True | Abs. Error | Prop. Error |
|---|---|---|---|---|---|
| f[CL] | 5 | 2… | 2 | 1.94e-03 | 0.10% |
| f[V] | 15 | 48.1 | 50 | 1.91e+00 | 3.81% |
| f[BASE] | 500 | 799 | 800 | 7.71e-01 | 0.10% |
| f[KOUT] | 0.1 | 0.0288 | 0.03 | 1.23e-03 | 4.10% |
Compare Noise f[X]¶
| Name | Initial | Fitted | True | Abs. Error | Prop. Error |
|---|---|---|---|---|---|
| f[PK_ANOISE] | 5 | 0.51 | 0.5 | 1.02e-02 | 2.05% |
| f[PD_ANOISE] | 5 | 8.23 | 0.3 | 7.93e+00 | 2641.77% |
Compare Variance f[X]¶
No Variance f[X] values to compare.
Outputs¶
Fitted f[X] values (after fitting)¶
f[CL] = 2.0019
f[V] = 48.0926
f[BASE] = 799.2292
f[KOUT] = 0.0288
f[PK_ANOISE] = 0.5102
f[PD_ANOISE] = 8.2253
Generated data .csv file¶
| Synthetic Data: | synthetic_data.csv |
|---|
Gen and Fit Summaries¶
Inputs¶
True f[X] values (for simulation)¶
f[CL] = 2.0000
f[V] = 50.0000
f[BASE] = 800.0000
f[KOUT] = 0.0300
f[PK_ANOISE] = 0.5000
f[PD_ANOISE] = 0.3000
Starting f[X] values (before fitting)¶
f[CL] = 5.0000
f[V] = 15.0000
f[BASE] = 500.0000
f[KOUT] = 0.1000
f[PK_ANOISE] = 5.0000
f[PD_ANOISE] = 5.0000