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] = 1.3315
f[CL] = 1.6939
f[V1] = 83.1212
f[KA_isv,CL_isv,V1_isv] = [
[ 0.2154, 0.0120, 0.0317 ],
[ 0.0120, 0.0123, 0.0280 ],
[ 0.0317, 0.0280, 0.0641 ],
]
f[PNOISE] = 0.3422
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] | 1.3315 | 1.0000 | 0.3315 | 0.3315 |
f[CL] | 1.6939 | 1.0000 | 0.6939 | 0.6939 |
f[V1] | 83.1212 | 20.0000 | 3.1561 | 63.1212 |
Compare Noise f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE] | 0.3422 | 0.1000 | 2.4217 | 0.2422 |
Compare Variance f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[KA_isv] | 0.2154 | 0.0500 | 3.3084 | 0.1654 |
f[KA_isv;CL_isv] | 0.0120 | 0.0100 | 0.2020 | 0.0020 |
f[KA_isv;V1_isv] | 0.0317 | 0.0100 | 2.1664 | 0.0217 |
f[CL_isv;KA_isv] | 0.0120 | 0.0100 | 0.2020 | 0.0020 |
f[CL_isv] | 0.0123 | 0.0500 | 0.7531 | 0.0377 |
f[CL_isv;V1_isv] | 0.0280 | 0.0100 | 1.8044 | 0.0180 |
f[V1_isv;KA_isv] | 0.0317 | 0.0100 | 2.1664 | 0.0217 |
f[V1_isv;CL_isv] | 0.0280 | 0.0100 | 1.8044 | 0.0180 |
f[V1_isv] | 0.0641 | 0.0500 | 0.2821 | 0.0141 |