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 |
---|---|
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 |
---|---|
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] = 2.2203
f[V] = 20.724
f[PNOISE_STD] = 0.21306
f[ANOISE_STD] = 0.052026
f[CL_isv] = 0.072757
f[CL_iov] = 0.1003
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 | 0.5 | 1 | 0.5 |
f[CL] | 2.2203 | 1 | 1.2203 | 1.2203 |
f[V] | 20.7242 | 15 | 0.381611 | 5.72416 |
Compare Noise f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[PNOISE_STD] | 0.213057 | 0.2 | 0.0652843 | 0.0130569 |
f[ANOISE_STD] | 0.0520259 | 0.2 | 0.739871 | 0.147974 |
Compare Variance f[X]¶
Variable Name | Fitted Value | Starting Value | Prop Change | Abs Change |
---|---|---|---|---|
f[CL_isv] | 0.072757 | 0.01 | 6.2757 | 0.062757 |
f[CL_iov] | 0.100297 | 0.01 | 9.02969 | 0.0902969 |