Bioavailability and Lag¶

[Generated automatically as a Tutorial summary]

Inputs¶

Description¶

Name:	biolag_abs_bio
Title:	Bioavailability and Lag
Author:	Wright Dose Ltd
Abstract:

One compartment model absorption dosing with bioavailability and lag parameters.

Keywords:	identifiability; bioavailability; lag
Input Script:	`biolag_abs_bio_tut.pyml`
Diagram:

True f[X] values¶

f[KA] = 0.3000
f[CL] = 3.0000
f[V] = 20.0000
f[ANOISE_STD] = 1.0000
f[BIO] = 0.5830
f[LAG] = 0.0000

Starting f[X] values¶

f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[ANOISE_STD] = 5.0000
f[BIO] = 0.8000
f[LAG] = 1.0000

Outputs¶

Generating and Fitting Summaries¶

Gen: Bioavailability and Lag (gen)
Fit: Bioavailability and Lag (fit)

Fitted f[X] values¶

f[KA] = 1.0000
f[CL] = 7.9400
f[V] = 88.2319
f[ANOISE_STD] = 1.1184
f[BIO] = 0.0000
f[LAG] = 339054187219277810501679236148306104705480707394240512.0000

Plots¶

Dense comp plots¶

Alternatively see All dense_comp graph plots

Comparison¶

True objective value¶

44.2050

Final fitted objective value¶

61.1870

Compare Main f[X]¶

Name	Initial	Fitted	True	Prop. Error	Abs. Error
f[KA]	0.5	1	0.3	233.33%	7.00e-01
f[CL]	1	7.94	3	164.67%	4.94e+00
f[V]	15	88.2	20	341.16%	6.82e+01
f[BIO]	0.8	1.58e-07	0.583	100.00%	5.83e-01
f[LAG]	1	3.39e+53	0	inf	3.39e+53

Compare Noise f[X]¶

Name	Initial	Fitted	True	Prop. Error	Abs. Error
f[ANOISE_STD]	5	1.12	1	11.84%	1.18e-01

Compare Variance f[X]¶

No Variance f[X] values to compare.