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 From: owner-nmus...@globomaxnm.com <owner-nmus...@globomaxnm.com> On Behalf Of Singla, Sumeet K Sent: Tuesday, October 29, 2019 10:00 AM To: nmusers@globomaxnm.com 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 sumeet-sin...@uiowa.edu<mailto:sumeet-sin...@uiowa.edu> 518.577.5881
