Quantitative comparison of NONMEM models

Dear all

I am interested in quantitatively comparing the results of different POPPK studies for a certain drug. Each study reports the value of the pharmacokinetic parameter (e.g. clearance) and the standard error of estimated clearance, the value of estimated inter-individual variability in clearance and its standard error.

Q1) How can we judge the superiority of those models based above parameters i.e.

Model A HIGH IIV: CL= 1 L/kg, SE in CL=0.05, (OMEGA)^2=0.55 IIV 74%, SE OF OMEGA=0.001

OR

Model B High imprecision in IIV estimation: CL=1.2 L/KG SE in CL=0.04, (OMEGA)^2=0.02 IIV 14%, SE OF OMEGA=.06 (RSE 300%)

Q2) How can we present all these data together graphically? any examples?

Many thanks

Dear Mondermm,

What was the purpose of the models ? Model A might be better than Model B for a specific purpose e.g. predicting Cmax while Model B can be better for predicting AUC.

I am not sure what is the value of comparing two models developed on different datasets and with potentially different purposes.

A Model with higher uncertainty might be worst than another for the purpose of simulation of new trials but again all depend on what it the application you are after.

SM

Dear smouksassi

Thanks for your kind reply. We are comparing all the models have been developed for optimizing dosing by explaining the IIV with covariates.

Many thanks