One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0¶
[Generated automatically as a Fitting summary]
Inputs¶
Description¶
| Name: | d1cmp_cl_iov_naive |
|---|---|
| Title: | One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0 |
| Author: | Wright Dose Ltd |
| Abstract: |
Population one Compartment Model with Absorption and Inter-occasion Variance
Here f[CL_iov] is not estimated it is set to zero.
| Keywords: | one compartment model; dep_one_cmp_cl; iov |
|---|---|
| Input Script: | d1cmp_cl_iov_naive_fit.pyml |
| Input Data: | synthetic_data.csv |
| Diagram: |
Initial fixed effect estimates¶
f[KA] = 0.5000
f[CL] = 1.0000
f[V] = 15.0000
f[PNOISE_STD] = 0.2000
f[ANOISE_STD] = 0.2000
f[CL_isv] = 0.0100
f[CL_iov] = 0.0000
Outputs¶
Final fitted fixed effects¶
f[KA] = 0.3201
f[CL] = 2.5351
f[V] = 20.9743
f[PNOISE_STD] = 0.2297
f[ANOISE_STD] = 0.0976
f[CL_isv] = 0.1395
f[CL_iov] = 0.0000
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] | 0.5000 | 0.3201 | 0.3597 | 0.1799 |
| f[CL] | 1.0000 | 2.5351 | 1.5351 | 1.5351 |
| f[V] | 15.0000 | 20.9743 | 0.3983 | 5.9743 |
Compare Noise f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[PNOISE_STD] | 0.2000 | 0.2297 | 0.1485 | 0.0297 |
| f[ANOISE_STD] | 0.2000 | 0.0976 | 0.5122 | 0.1024 |
Compare Variance f[X]¶
| Variable Name | Starting Value | Fitted Value | Prop Change | Abs Change |
|---|---|---|---|---|
| f[CL_isv] | 0.0100 | 0.1395 | 12.9534 | 0.1295 |