- Language: en
Sine circadian model¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
| Name: | circ_sin |
|---|---|
| Title: | Sine circadian model |
| Author: | Wright Dose Ltd |
| 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: |
True f[X] values¶
f[AMP] = 2.0000
f[INT] = 8.0000
f[KOUT] = 0.0500
f[ANOISE] = 3.0000
Starting f[X] values¶
f[AMP] = 3.0000
f[INT] = 16.0000
f[KOUT] = 0.1000
f[ANOISE] = 5.0000
Outputs¶
Generating and Fitting Summaries¶
- Gen: Sine circadian model (gen)
- Fit: Sine circadian model (fit)
Fitted f[X] values¶
f[AMP] = 2.0061
f[INT] = 19.8394
f[KOUT] = 0.0501
f[ANOISE] = 10.0000
Plots¶
Comparison¶
True objective value¶
815.0562
Final fitted objective value¶
1174.9015
Compare Main f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[AMP] | 3 | 2.01 | 2 | 0.31% | 6.14e-03 |
| f[INT] | 16 | 19.8 | 8 | 147.99% | 1.18e+01 |
| f[KOUT] | 0.1 | 0.0501 | 0.05 | 0.24% | 1.22e-04 |
Compare Noise f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[ANOISE] | 5 | 10 | 3 | 233.33% | 7.00e+00 |
Compare Variance f[X]¶
No Variance f[X] values to compare.