One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0¶
[Generated automatically as a Fitting summary]
Model Description¶
| Name: | d1cmp_cl_iov_naive |
|---|---|
| Title: | One Compartment Model with Absorption and no inter-occasion Variance f[CL_iov]=0 |
| Author: | PoPy for PK/PD |
| 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 |
| Diagram: |
Comparison¶
Compare Main f[X]¶
| Variable Name | Starting Value | Fitted Value | Abs Change | Prop Change |
|---|---|---|---|---|
| f[KA] | 0.5000 | 0.3202 | 0.1798 | 0.3596 |
| f[CL] | 1.0000 | 2.5349 | 1.5349 | 1.5349 |
| f[V] | 15.0000 | 20.9761 | 5.9761 | 0.3984 |
Compare Noise f[X]¶
| Variable Name | Starting Value | Fitted Value | Abs Change | Prop Change |
|---|---|---|---|---|
| f[PNOISE_STD] | 0.2000 | 0.2297 | 0.0297 | 0.1484 |
| f[ANOISE_STD] | 0.2000 | 0.0976 | 0.1024 | 0.5122 |
Compare Variance f[X]¶
| Variable Name | Starting Value | Fitted Value | Abs Change | Prop Change |
|---|---|---|---|---|
| f[CL_isv] | 0.0100 | 0.1395 | 0.1295 | 12.9505 |
Population simulated (sim) plots¶
|
allOBS_vs_TIME |
Outputs¶
Fitted f[X] values (after fitting)¶
f[KA] = 0.3202
f[CL] = 2.5349
f[V] = 20.9761
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) |
| Likelihoods: | lx_params.csv (fit) |
Inputs¶
| Input Data: | cx_obs_params.csv |
|---|
Starting f[X] values (before fitting)¶
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