One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
Name: | dep_one_cmp_cl_iov |
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Title: | One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.2 |
Author: | Wright Dose Ltd |
Abstract: |
Population one Compartment Model with Absorption and Inter-occasion Variance
Keywords: | one compartment model; dep_one_cmp_cl; iov |
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Input Script: | dep_one_cmp_cl_iov_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] = 0.01
f[CL_iov] = 0.01
Outputs¶
Final fitted fixed effects¶
f[KA] = 1
f[CL] = 2.211
f[V] = 20.54
f[PNOISE_STD] = 0.2123
f[ANOISE_STD] = 0.05187
f[CL_isv] = 0.073326
f[CL_iov] = 0.10083
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] | 2.21102 | 1 | 1.21102 | 1.21102 |
f[V] | 20.5398 | 15 | 0.369319 | 5.53978 |
Compare Noise f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE_STD] | 0.212303 | 0.2 | 0.0615144 | 0.0123029 |
f[ANOISE_STD] | 0.0518701 | 0.2 | 0.74065 | 0.14813 |
Compare Variance f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[CL_isv] | 0.0733258 | 0.01 | 6.33258 | 0.0633258 |
f[CL_iov] | 0.100826 | 0.01 | 9.08262 | 0.0908262 |