Depot One Comp PK with BLQ observations set to LLQ¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
| Name: | blq_pk_norm_fit |
|---|---|
| Title: | Depot One Comp PK with BLQ observations set to LLQ |
| Author: | J.R. Hartley |
| Abstract: |
Depot One Comp PK model, with BLQ (below level of quantification)
observations set to LLQ (lower limit of quantification).
| Keywords: | tutorial; pk; advan4; dep_two_cmp; blq |
|---|---|
| Input Script: | blq_pk_norm_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] = 0.8984
f[CL] = 0.9553
f[V1] = 88.4773
f[KA_isv,CL_isv,V1_isv] = [
[ 0.0000, -0.0001, 0.0005 ],
[ -0.0001, 0.0007, -0.0063 ],
[ 0.0005, -0.0063, 0.0600 ],
]
f[PNOISE] = 0.2339
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 | 0.8984 | 0.1016 | 0.1016 |
| f[CL] | 1.0000 | 0.9553 | 0.0447 | 0.0447 |
| f[V1] | 20.0000 | 88.4773 | 3.4239 | 68.4773 |
Compare Noise f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[PNOISE] | 0.1000 | 0.2339 | 1.3392 | 0.1339 |
Compare Variance f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[KA_isv] | 0.0500 | 0.0000 | 0.9999 | 0.0500 |
| f[KA_isv;CL_isv] | 0.0100 | -0.0001 | 1.0057 | 0.0101 |
| f[KA_isv;V1_isv] | 0.0100 | 0.0005 | 0.9457 | 0.0095 |
| f[CL_isv;KA_isv] | 0.0100 | -0.0001 | 1.0057 | 0.0101 |
| f[CL_isv] | 0.0500 | 0.0007 | 0.9868 | 0.0493 |
| f[CL_isv;V1_isv] | 0.0100 | -0.0063 | 1.6285 | 0.0163 |
| f[V1_isv;KA_isv] | 0.0100 | 0.0005 | 0.9457 | 0.0095 |
| f[V1_isv;CL_isv] | 0.0100 | -0.0063 | 1.6285 | 0.0163 |
| f[V1_isv] | 0.0500 | 0.0600 | 0.1997 | 0.0100 |