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] = 1.2697
f[CL] = 0.9437
f[V1] = 89.5814
f[KA_isv,CL_isv,V1_isv] = [
[ 0.1630, -0.0014, -0.0034 ],
[ -0.0014, 0.0021, -0.0112 ],
[ -0.0034, -0.0112, 0.0666 ],
]
f[PNOISE] = 0.2321
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 | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[KA] | 1.2697 | 1.0000 | 0.2697 | 0.2697 |
f[CL] | 0.9437 | 1.0000 | 0.0563 | 0.0563 |
f[V1] | 89.5814 | 20.0000 | 3.4791 | 69.5814 |
Compare Noise f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE] | 0.2321 | 0.1000 | 1.3205 | 0.1321 |
Compare Variance f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[KA_isv] | 0.1630 | 0.0500 | 2.2609 | 0.1130 |
f[KA_isv;CL_isv] | -0.0014 | 0.0100 | 1.1411 | 0.0114 |
f[KA_isv;V1_isv] | -0.0034 | 0.0100 | 1.3385 | 0.0134 |
f[CL_isv;KA_isv] | -0.0014 | 0.0100 | 1.1411 | 0.0114 |
f[CL_isv] | 0.0021 | 0.0500 | 0.9582 | 0.0479 |
f[CL_isv;V1_isv] | -0.0112 | 0.0100 | 2.1168 | 0.0212 |
f[V1_isv;KA_isv] | -0.0034 | 0.0100 | 1.3385 | 0.0134 |
f[V1_isv;CL_isv] | -0.0112 | 0.0100 | 2.1168 | 0.0212 |
f[V1_isv] | 0.0666 | 0.0500 | 0.3318 | 0.0166 |