- Language: en
Sine circadian model¶
[Generated automatically as a Tutorial summary]
Model Description¶
| Name: | circ_sin |
|---|---|
| Title: | Sine circadian model |
| Author: | PoPy for PK/PD |
| Abstract: |
A PD Model based on the amount of drug in the body.
The PD model uses a sine function which simulates a circadian rhythm for the generation of a biomarker.
The amount in the central compartment is determined by CL and V, PK patameters , which have been previosly estimated for each individual.
The amount in the central compartment influences the rate of production of a biomarker.
| Keywords: | PD; Pharmacodynamics; sine function; Circadian rhythm |
|---|---|
| Input Script: | circ_sin_tut.pyml |
| Diagram: |
Comparison¶
True objective value¶
815.0562
Final fitted objective value¶
811.8798
Compare Main f[X]¶
| Name | Initial | Fitted | True | Abs. Error | Prop. Error |
|---|---|---|---|---|---|
| f[AMP] | 3 | 2… | 2 | 2.11e-03 | 0.11% |
| f[INT] | 16 | 7.87 | 8 | 1.31e-01 | 1.63% |
| f[KOUT] | 0.1 | 0.05… | 0.05 | 1.25e-05 | 0.02% |
Compare Noise f[X]¶
| Name | Initial | Fitted | True | Abs. Error | Prop. Error |
|---|---|---|---|---|---|
| f[ANOISE] | 5 | 3.07 | 3 | 7.06e-02 | 2.35% |
Compare Variance f[X]¶
No Variance f[X] values to compare.
Outputs¶
Fitted f[X] values (after fitting)¶
f[AMP] = 2.0021
f[INT] = 7.8694
f[KOUT] = 0.0500
f[ANOISE] = 3.0706
Generated data .csv file¶
| Synthetic Data: | synthetic_data.csv |
|---|
Gen and Fit Summaries¶
- Gen: Sine circadian model (gen)
- Fit: Sine circadian model (fit)