- Language: en
Body Weight Covariate¶
[Generated automatically as a Tutorial summary]
Inputs¶
Description¶
| Name: | weight_covariate |
|---|---|
| Title: | Body Weight Covariate |
| Author: | Wright Dose Ltd |
| Abstract: |
One compartment model with absorption compartment and CL/V parametrisation.
There are no random effects here. Each individual just has a different weight.
The weight is a covariate for the m[CL] clearance parameter for each individual.
Only the f[WT_EFFECT] and f[V] fixed effect parameters are estimated, other f[X] are fixed.
| Keywords: | one compartment model; dep_one_cmp_cl; weight; covariate effect |
|---|---|
| Input Script: | weight_covariate.pyml |
| Diagram: |
Failed to create compartment diagram
True f[X] values¶
f[KA] = 0.3
f[CL] = 3
f[V] = 20
f[PNOISE] = 0.1
f[ANOISE] = 0.05
f[WT_EFFECT] = 0.75
Starting f[X] values¶
f[KA] = 0.3
f[CL] = 3
f[V] = 15
f[PNOISE] = 0.1
f[ANOISE] = 0.05
f[WT_EFFECT] = 1
Outputs¶
Generating and Fitting Summaries¶
- Gen: Body Weight Covariate (gen)
- Fit: Body Weight Covariate (fit)
Fitted f[X] values¶
f[KA] = 0.3
f[CL] = 3
f[V] = 20.261
f[PNOISE] = 0.1
f[ANOISE] = 0.05
f[WT_EFFECT] = 0.66554
Plots¶
Comparison¶
True objective value¶
-483.371814681
Final fitted objective value¶
-486.079811289
Compare Main f[X]¶
| Name | Initial | Fitted | True | Prop. Error | Abs. Error |
|---|---|---|---|---|---|
| f[V] | 15 | 20.3 | 20 | 1.30% | 2.61e-01 |
| f[WT_EFFECT] | 1 | 0.666 | 0.75 | 11.26% | 8.45e-02 |
Compare Noise f[X]¶
No Noise f[X] values to compare.
Compare Variance f[X]¶
No Variance f[X] values to compare.