One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
Name: | dep_one_cmp_cl_iov_05 |
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Title: | One Compartment Model with Absorption and Inter-occasion Variance f[CL_isv]=0.5 |
Author: | Wright Dose Ltd |
Abstract: |
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_isv] true value is 0.5
Keywords: | one compartment model; dep_one_cmp_cl; iov |
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Input Script: | dep_one_cmp_cl_iov_05_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] = 1.8513
f[V] = 20.269
f[PNOISE_STD] = 0.21367
f[ANOISE_STD] = 0.047704
f[CL_isv] = 0.26995
f[CL_iov] = 0.0085567
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] | 1.85134 | 1 | 0.851343 | 0.851343 |
f[V] | 20.2693 | 15 | 0.351284 | 5.26926 |
Compare Noise f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE_STD] | 0.213669 | 0.2 | 0.0683461 | 0.0136692 |
f[ANOISE_STD] | 0.0477045 | 0.2 | 0.761478 | 0.152296 |
Compare Variance f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[CL_isv] | 0.269953 | 0.01 | 25.9953 | 0.259953 |
f[CL_iov] | 0.00855672 | 0.01 | 0.144328 | 0.00144328 |