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] = 1.9123
f[CL] = 1.6514
f[V1] = 80.2922
f[KA_isv,CL_isv,V1_isv] = [
[ 1.0636, 0.1018, 0.2494 ],
[ 0.1018, 0.0100, 0.0243 ],
[ 0.2494, 0.0243, 0.0596 ],
]
f[PNOISE] = 0.3314
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 | 1.9123 | 0.9123 | 0.9123 |
| f[CL] | 1.0000 | 1.6514 | 0.6514 | 0.6514 |
| f[V1] | 20.0000 | 80.2922 | 3.0146 | 60.2922 |
Compare Noise f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[PNOISE] | 0.1000 | 0.3314 | 2.3136 | 0.2314 |
Compare Variance f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[KA_isv] | 0.0500 | 1.0636 | 20.2721 | 1.0136 |
| f[KA_isv;CL_isv] | 0.0100 | 0.1018 | 9.1839 | 0.0918 |
| f[KA_isv;V1_isv] | 0.0100 | 0.2494 | 23.9384 | 0.2394 |
| f[CL_isv;KA_isv] | 0.0100 | 0.1018 | 9.1839 | 0.0918 |
| f[CL_isv] | 0.0500 | 0.0100 | 0.8008 | 0.0400 |
| f[CL_isv;V1_isv] | 0.0100 | 0.0243 | 1.4317 | 0.0143 |
| f[V1_isv;KA_isv] | 0.0100 | 0.2494 | 23.9384 | 0.2394 |
| f[V1_isv;CL_isv] | 0.0100 | 0.0243 | 1.4317 | 0.0143 |
| f[V1_isv] | 0.0500 | 0.0596 | 0.1921 | 0.0096 |