RE: Stepwise covariate modeling
Hi,
If all of the individual predictions are the same for the model with the
covariate and without the covariate, then it sounds like the original model is
at a local minimum instead of a global minimum.
Best regards,
Luann
Quoted reply history
From: [email protected] <[email protected]> On Behalf Of
Singla, Sumeet K
Sent: Tuesday, October 29, 2019 10:00 AM
To: [email protected]
Subject: [NMusers] Stepwise covariate modeling
Hi!
I am performing stepwise covariate modeling using PsN feature in Pirana. I am
getting some covariates which are statistically reducing OFV significantly,
however, when I include those covariates in the PK model, the results I am
getting are exactly similar to what I am getting in my base model, i.e. there
is no difference in individual predictions or pop predictions or any other
diagnostic plots. So, does that mean I should move forward WITHOUT including
those covariates as they don't seem to be explaining inter-individual
variability despite scm telling me that they are statistically significant?
Regards,
Sumeet K. Singla
Ph.D. Candidate
Division of Pharmaceutics and Translational Therapeutics
College of Pharmacy | University of Iowa
Iowa City, Iowa
[email protected]<mailto:[email protected]>
518.577.5881