Depot One Comp PK ignoring BLQ observations.¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
Name: | blq_pk_norm_fit_ignore |
---|---|
Title: | Depot One Comp PK ignoring BLQ observations. |
Author: | J.R. Hartley |
Abstract: |
Depot One Comp PK model, with BLQ (below level of quantification)
observations removed from data set.
Keywords: | tutorial; pk; advan4; dep_two_cmp; blq |
---|---|
Input Script: | blq_pk_norm_fit_ignore.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] = 0.2246
f[CL] = 1.8588
f[V1] = 52.6500
f[KA_isv,CL_isv,V1_isv] = [
[ 0.0000, -0.0002, 0.0008 ],
[ -0.0002, 0.0203, -0.0066 ],
[ 0.0008, -0.0066, 0.1603 ],
]
f[PNOISE] = 0.1454
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 | 0.2246 | 0.7754 | 0.7754 |
f[CL] | 1.0000 | 1.8588 | 0.8588 | 0.8588 |
f[V1] | 20.0000 | 52.6500 | 1.6325 | 32.6500 |
Compare Noise f[X]¶
Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE] | 0.1000 | 0.1454 | 0.4536 | 0.0454 |
Compare Variance f[X]¶
Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
---|---|---|---|---|
f[KA_isv] | 0.0500 | 0.0000 | 0.9998 | 0.0500 |
f[KA_isv;CL_isv] | 0.0100 | -0.0002 | 1.0201 | 0.0102 |
f[KA_isv;V1_isv] | 0.0100 | 0.0008 | 0.9205 | 0.0092 |
f[CL_isv;KA_isv] | 0.0100 | -0.0002 | 1.0201 | 0.0102 |
f[CL_isv] | 0.0500 | 0.0203 | 0.5946 | 0.0297 |
f[CL_isv;V1_isv] | 0.0100 | -0.0066 | 1.6605 | 0.0166 |
f[V1_isv;KA_isv] | 0.0100 | 0.0008 | 0.9205 | 0.0092 |
f[V1_isv;CL_isv] | 0.0100 | -0.0066 | 1.6605 | 0.0166 |
f[V1_isv] | 0.0500 | 0.1603 | 2.2059 | 0.1103 |