- Language: en
Sine circadian model¶
[Generated automatically as a Fitting 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_fit.pyml |
| Input Data: | synthetic_data.csv |
| Diagram: |
Initial fixed effect estimates¶
f[AMP] = 3.0000
f[INT] = 16.0000
f[KOUT] = 0.1000
f[ANOISE] = 5.0000
Outputs¶
Final fitted fixed effects¶
f[AMP] = 2.0061
f[INT] = 19.8394
f[KOUT] = 0.0501
f[ANOISE] = 10.0000
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) |
Plots¶
Comparison¶
Compare Main f[X]¶
| Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[AMP] | 2.0061 | 3.0000 | 0.3313 | 0.9939 |
| f[INT] | 19.8394 | 16.0000 | 0.2400 | 3.8394 |
| f[KOUT] | 0.0501 | 0.1000 | 0.4988 | 0.0499 |
Compare Noise f[X]¶
| Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[ANOISE] | 10.0000 | 5.0000 | 1.0000 | 5.0000 |