One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
Name: | dep_one_cmp_cl_isv_naive |
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Title: | One Compartment Model with Absorption and no inter-subject Variance f[CL_isv]=0 |
Author: | Wright Dose Ltd |
Abstract: |
Population one Compartment Model with Absorption and Inter-subject Variance
Here f[CL_isv] is not estimated it is set to zero.
Keywords: | one compartment model; dep_one_cmp_cl |
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Input Script: | dep_one_cmp_cl_isv_naive_fit.pyml |
Input Data: | synthetic_data.csv |
Diagram: |
Initial fixed effect estimates¶
f[KA] = 0.5
f[CL] = 1
f[V] = 15
f[PNOISE_STD] = 0.2
f[ANOISE_STD] = 0.2
f[CL_isv] = 0
Outputs¶
Final fitted fixed effects¶
f[KA] = 1
f[CL] = 1
f[V] = 7.3224
f[PNOISE_STD] = 0.62876
f[ANOISE_STD] = 0.12415
f[CL_isv] = 0
Fitted parameter .csv files¶
Fixed Effects: | fx_params.csv (fit) |
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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 | 0.5 | 1 | 0.5 |
f[CL] | 1 | 1 | 0 | 0 |
f[V] | 7.32241 | 15 | 0.511839 | 7.67759 |
Compare Noise f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE_STD] | 0.628762 | 0.2 | 2.14381 | 0.428762 |
f[ANOISE_STD] | 0.124153 | 0.2 | 0.379233 | 0.0758466 |