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] = 0.2308
f[CL] = 1.8474
f[V1] = 52.2821
f[KA_isv,CL_isv,V1_isv] = [
[ 0.0000, 0.0002, 0.0004 ],
[ 0.0002, 0.0399, 0.0067 ],
[ 0.0004, 0.0067, 0.0987 ],
]
f[PNOISE] = 0.1491
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 | 0.2308 | 0.7692 | 0.7692 |
f[CL] | 1.0000 | 1.8474 | 0.8474 | 0.8474 |
f[V1] | 20.0000 | 52.2821 | 1.6141 | 32.2821 |
Compare Noise f[X]¶
Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE] | 0.1000 | 0.1491 | 0.4912 | 0.0491 |
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 | 0.0002 | 0.9820 | 0.0098 |
f[KA_isv;V1_isv] | 0.0100 | 0.0004 | 0.9641 | 0.0096 |
f[CL_isv;KA_isv] | 0.0100 | 0.0002 | 0.9820 | 0.0098 |
f[CL_isv] | 0.0500 | 0.0399 | 0.2015 | 0.0101 |
f[CL_isv;V1_isv] | 0.0100 | 0.0067 | 0.3270 | 0.0033 |
f[V1_isv;KA_isv] | 0.0100 | 0.0004 | 0.9641 | 0.0096 |
f[V1_isv;CL_isv] | 0.0100 | 0.0067 | 0.3270 | 0.0033 |
f[V1_isv] | 0.0500 | 0.0987 | 0.9748 | 0.0487 |