Demonstration of CWRES diagnostic

[Generated automatically as a Fitting summary]

Model Description

Name:

cwres_emax_correct_model

Title:

Demonstration of CWRES diagnostic

Author:

PoPy for PK/PD

Abstract:

Demonstration of CWRES diagnostic on Hooker’s Emax model with

correct population parameters

Keywords:

cwres; emax

Input Script:

cwres_emax_correct_model_fit.pyml

Diagram:

Comparison

Compare Main f[X]

Variable Name	Starting Value	Fitted Value	Abs Change	Prop Change
f[EMAX]	100.0000	100.0000	0.0000	0.0000
f[C50]	20.0000	20.0000	0.0000	0.0000

Compare Noise f[X]

Variable Name	Starting Value	Fitted Value	Abs Change	Prop Change
f[Hill]	4.5000	4.5000	0.0000	0.0000

Compare Variance f[X]

Variable Name	Starting Value	Fitted Value	Abs Change	Prop Change
f[EMAX_isv]	0.5000	0.5000	0.0000	0.0000
f[C50_isv]	0.5000	0.5000	0.0000	0.0000

Population observed (fit) plots

	allOBS_vs_TIME
	CWRES(Effect)_wrt_IPRED(Drug)
	CWRES(Effect)_wrt_IPRED(Effect)
	WRES(Effect)_wrt_PPRED(Drug)
	WRES(Effect)_wrt_PPRED(Effect)

Outputs

Final objective value

22543.0278

which required 1. iterations and took 11.60 seconds

Fitted f[X] values (after fitting)

f[EMAX] = 100.0000
f[C50] = 20.0000
f[Hill] = 4.5000
f[EMAX_isv] = 0.5000
f[C50_isv] = 0.5000

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[EMAX] = 100.0000
f[C50] = 20.0000
f[Hill] = 4.5000
f[EMAX_isv] = 0.5000
f[C50_isv] = 0.5000