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One Compartment Model with Absorption estimating KA and V

[Generated automatically as a Fitting summary]

Model Description

Name:

d1cmp_ka_v_stderr

Title:

One Compartment Model with Absorption estimating KA and V

Author:

PoPy for PK/PD

Abstract:

One Compartment Model with Absorption compartment with rate (KA).
Elimination rate parametrised by clearance (CL)
and volume of distribution (V).
Model specification uses incremental flows
Keywords:

dep_one_cmp_cl; one compartment model

Input Script:

d1cmp_ka_v_stderr_fit.pyml

Diagram:

Comparison

Compare Main f[X]

Variable Name

Starting Value

Fitted Value

Abs Change

Prop Change

f[KA]

0.3000

0.2738

0.0262

0.0873

f[V]

20.0000

17.9968

2.0032

0.1002

Compare Noise f[X]

Compare Variance f[X]

Population simulated (sim) plots

indOBS_vs_TIME

Outputs

Final objective value

-44.7678

which required 1.7 iterations and took 0.50 seconds

Fitted f[X] values (after fitting)

f[KA] = 0.2738
f[V] = 17.9968
f[CL] = 3.2389

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] = 0.3000
f[V] = 20.0000
f[CL] = 3.2389
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