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] = 0.6179
f[CL] = 1.6995
f[V1] = 83.1400
f[KA_isv,CL_isv,V1_isv] = [
[ 0.0000, 0.0007, 0.0017 ],
[ 0.0007, 0.0110, 0.0270 ],
[ 0.0017, 0.0270, 0.0663 ],
]
f[PNOISE] = 0.3362
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 | 0.6179 | 0.3821 | 0.3821 |
f[CL] | 1.0000 | 1.6995 | 0.6995 | 0.6995 |
f[V1] | 20.0000 | 83.1400 | 3.1570 | 63.1400 |
Compare Noise f[X]¶
Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE] | 0.1000 | 0.3362 | 2.3615 | 0.2362 |
Compare Variance f[X]¶
Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
---|---|---|---|---|
f[KA_isv] | 0.0500 | 0.0000 | 0.9991 | 0.0500 |
f[KA_isv;CL_isv] | 0.0100 | 0.0007 | 0.9314 | 0.0093 |
f[KA_isv;V1_isv] | 0.0100 | 0.0017 | 0.8315 | 0.0083 |
f[CL_isv;KA_isv] | 0.0100 | 0.0007 | 0.9314 | 0.0093 |
f[CL_isv] | 0.0500 | 0.0110 | 0.7802 | 0.0390 |
f[CL_isv;V1_isv] | 0.0100 | 0.0270 | 1.6987 | 0.0170 |
f[V1_isv;KA_isv] | 0.0100 | 0.0017 | 0.8315 | 0.0083 |
f[V1_isv;CL_isv] | 0.0100 | 0.0270 | 1.6987 | 0.0170 |
f[V1_isv] | 0.0500 | 0.0663 | 0.3259 | 0.0163 |