Depot One Comp PK with BLQ observations set to 0.5*LLQ¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
Name: | blq_pk_norm_fit_half |
---|---|
Title: | Depot One Comp PK with BLQ observations set to 0.5*LLQ |
Author: | J.R. Hartley |
Abstract: |
Depot One Comp PK model, with BLQ (below level of quantification)
observations set to 0.5*LLQ (lower limit of quantification).
Keywords: | tutorial; pk; advan4; dep_two_cmp; blq |
---|---|
Input Script: | blq_pk_norm_fit_half.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] = 1.3657
f[CL] = 1.6485
f[V1] = 78.8853
f[KA_isv,CL_isv,V1_isv] = [
[ 0.1806, 0.0094, 0.0283 ],
[ 0.0094, 0.0123, 0.0281 ],
[ 0.0283, 0.0281, 0.0647 ],
]
f[PNOISE] = 0.3372
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] | 1.3657 | 1.0000 | 0.3657 | 0.3657 |
f[CL] | 1.6485 | 1.0000 | 0.6485 | 0.6485 |
f[V1] | 78.8853 | 20.0000 | 2.9443 | 58.8853 |
Compare Noise f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE] | 0.3372 | 0.1000 | 2.3722 | 0.2372 |
Compare Variance f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[KA_isv] | 0.1806 | 0.0500 | 2.6125 | 0.1306 |
f[KA_isv;CL_isv] | 0.0094 | 0.0100 | 0.0581 | 0.0006 |
f[KA_isv;V1_isv] | 0.0283 | 0.0100 | 1.8318 | 0.0183 |
f[CL_isv;KA_isv] | 0.0094 | 0.0100 | 0.0581 | 0.0006 |
f[CL_isv] | 0.0123 | 0.0500 | 0.7542 | 0.0377 |
f[CL_isv;V1_isv] | 0.0281 | 0.0100 | 1.8137 | 0.0181 |
f[V1_isv;KA_isv] | 0.0283 | 0.0100 | 1.8318 | 0.0183 |
f[V1_isv;CL_isv] | 0.0281 | 0.0100 | 1.8137 | 0.0181 |
f[V1_isv] | 0.0647 | 0.0500 | 0.2941 | 0.0147 |