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] = 0.1950
f[CL] = 2.0509
f[V1] = 48.4223
f[KA_isv,CL_isv,V1_isv] = [
[ 0.0137, 0.0118, -0.0107 ],
[ 0.0118, 0.0221, 0.0270 ],
[ -0.0107, 0.0270, 0.1372 ],
]
f[PNOISE] = 0.1486
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 | 0.1950 | 0.8050 | 0.8050 |
| f[CL] | 1.0000 | 2.0509 | 1.0509 | 1.0509 |
| f[V1] | 20.0000 | 48.4223 | 1.4211 | 28.4223 |
Compare Noise f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[PNOISE] | 0.1000 | 0.1486 | 0.4860 | 0.0486 |
Compare Variance f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[KA_isv] | 0.0500 | 0.0137 | 0.7257 | 0.0363 |
| f[KA_isv;CL_isv] | 0.0100 | 0.0118 | 0.1803 | 0.0018 |
| f[KA_isv;V1_isv] | 0.0100 | -0.0107 | 2.0729 | 0.0207 |
| f[CL_isv;KA_isv] | 0.0100 | 0.0118 | 0.1803 | 0.0018 |
| f[CL_isv] | 0.0500 | 0.0221 | 0.5578 | 0.0279 |
| f[CL_isv;V1_isv] | 0.0100 | 0.0270 | 1.6991 | 0.0170 |
| f[V1_isv;KA_isv] | 0.0100 | -0.0107 | 2.0729 | 0.0207 |
| f[V1_isv;CL_isv] | 0.0100 | 0.0270 | 1.6991 | 0.0170 |
| f[V1_isv] | 0.0500 | 0.1372 | 1.7435 | 0.0872 |