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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

Fitted f[X] values

f[AMP] = 2.0017
f[INT] = 19.8701
f[KOUT] = 0.0500
f[ANOISE] = 10.0000

Plots

Dense comp plots

Alternatively see All dense_comp graph plots

Comparison

True objective value

815.0562

Final fitted objective value

1174.9538

Compare Main f[X]

Name Initial Fitted True Prop. Error Abs. Error
f[AMP] 3 2… 2 0.08% 1.70e-03
f[INT] 16 19.9 8 148.38% 1.19e+01
f[KOUT] 0.1 0.05… 0.05 0.03% 1.28e-05

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.

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