Depot + One compartment PK with BLQ¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
| Name: | blq_pk |
|---|---|
| Title: | Depot + One compartment PK with BLQ |
| Author: | J.R. Hartley |
| Abstract: |
Depot One Comp PK model, with BLQ (below level of quantification) observations.
| Keywords: | tutorial; pk; advan4; dep_two_cmp; blq |
|---|---|
| Input Script: | blq_pk_fit.pyml |
| Input Data: | synthetic_data.csv |
| Diagram: |
Initial fixed effect estimates¶
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
Outputs¶
Final fitted fixed effects¶
f[KA] = 0.1954
f[CL] = 2.0254
f[V1] = 46.9680
f[KA_isv,CL_isv,V1_isv] = [
[ 0.1374, 0.0157, 0.0621 ],
[ 0.0157, 0.0392, 0.0200 ],
[ 0.0621, 0.0200, 0.1254 ],
]
f[PNOISE] = 0.1389
f[ANOISE] = 0.0100
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 | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[KA] | 1.0000 | 0.1954 | 0.8046 | 0.8046 |
| f[CL] | 1.0000 | 2.0254 | 1.0254 | 1.0254 |
| f[V1] | 20.0000 | 46.9680 | 1.3484 | 26.9680 |
Compare Noise f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[PNOISE] | 0.1000 | 0.1389 | 0.3889 | 0.0389 |
Compare Variance f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[KA_isv] | 0.0500 | 0.1374 | 1.7485 | 0.0874 |
| f[KA_isv;CL_isv] | 0.0100 | 0.0157 | 0.5742 | 0.0057 |
| f[KA_isv;V1_isv] | 0.0100 | 0.0621 | 5.2148 | 0.0521 |
| f[CL_isv;KA_isv] | 0.0100 | 0.0157 | 0.5742 | 0.0057 |
| f[CL_isv] | 0.0500 | 0.0392 | 0.2170 | 0.0108 |
| f[CL_isv;V1_isv] | 0.0100 | 0.0200 | 0.9958 | 0.0100 |
| f[V1_isv;KA_isv] | 0.0100 | 0.0621 | 5.2148 | 0.0521 |
| f[V1_isv;CL_isv] | 0.0100 | 0.0200 | 0.9958 | 0.0100 |
| f[V1_isv] | 0.0500 | 0.1254 | 1.5077 | 0.0754 |