Depot + One compartment PK with BLQ
[Generated automatically as a Tutorial summary]
Model Description
- Name:
blq_pk
- Title:
Depot + One compartment PK with BLQ
- Author:
PoPy for PK/PD
- Abstract:
- Keywords:
tutorial; pk; advan4; dep_two_cmp; blq
- Input Script:
- Diagram:
Comparison
True objective value
-781.3723
Final fitted objective value
-786.4915
Compare Main f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[KA] |
1 |
0.206 |
0.2 |
6.37e-03 |
3.18% |
f[CL] |
1 |
2… |
2 |
2.48e-03 |
0.12% |
f[V1] |
20 |
51 |
50 |
9.68e-01 |
1.94% |
Compare Noise f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[PNOISE] |
0.1 |
0.148 |
0.15 |
2.42e-03 |
1.61% |
Compare Variance f[X]
Name |
Initial |
Fitted |
True |
Abs. Error |
Prop. Error |
|---|---|---|---|---|---|
f[KA_isv] |
0.05 |
0.0474 |
0.1 |
5.26e-02 |
52.58% |
f[KA_isv;CL_isv] |
0.01 |
0.012 |
0.02 |
7.97e-03 |
39.86% |
f[KA_isv;V1_isv] |
0.01 |
-0.0314 |
0.01 |
4.14e-02 |
413.93% |
f[CL_isv;KA_isv] |
0.01 |
0.012 |
0.02 |
7.97e-03 |
39.86% |
f[CL_isv] |
0.05 |
0.0287 |
0.03 |
1.27e-03 |
4.24% |
f[CL_isv;V1_isv] |
0.01 |
0.0244 |
0.02 |
4.38e-03 |
21.91% |
f[V1_isv;KA_isv] |
0.01 |
-0.0314 |
0.01 |
4.14e-02 |
413.93% |
f[V1_isv;CL_isv] |
0.01 |
0.0244 |
0.02 |
4.38e-03 |
21.91% |
f[V1_isv] |
0.05 |
0.0628 |
0.09 |
2.72e-02 |
30.25% |
Outputs
Fitted f[X] values (after fitting)
f[KA] = 0.2064
f[CL] = 1.9975
f[V1] = 50.9682
f[KA_isv,CL_isv,V1_isv] = [
[ 0.0474, 0.0120, -0.0314 ],
[ 0.0120, 0.0287, 0.0244 ],
[ -0.0314, 0.0244, 0.0628 ],
]
f[PNOISE] = 0.1476
f[ANOISE] = 0.0100
Generated data .csv file
- Synthetic Data:
Gen and Fit Summaries
Gen: Depot + One compartment PK with BLQ (gen)
Fit: Depot + One compartment PK with BLQ (fit)
Inputs
True f[X] values (for simulation)
f[KA] = 0.2000
f[CL] = 2.0000
f[V1] = 50.0000
f[KA_isv,CL_isv,V1_isv] = [
[ 0.1000, 0.0200, 0.0100 ],
[ 0.0200, 0.0300, 0.0200 ],
[ 0.0100, 0.0200, 0.0900 ],
]
f[PNOISE] = 0.1500
f[ANOISE] = 0.0100
Starting f[X] values (before fitting)
f[KA] = 1.0000
f[CL] = 1.0000
f[V1] = 20.0000
f[KA_isv,CL_isv,V1_isv] = [
[ 0.0500, 0.0100, 0.0100 ],
[ 0.0100, 0.0500, 0.0100 ],
[ 0.0100, 0.0100, 0.0500 ],
]
f[PNOISE] = 0.1000
f[ANOISE] = 0.0100