I am new to NONMEM and I am trying to build a model. I attempted both the one-compartment model and two-compartment model with different residual error models (additive, proportional, combined and exponential). The diagnostic graph all look nice with the gradient and R2 close to 1. Still, there are always 5 or 6 stubborn points with the populaiton prediction (PRED) much less than the actual concentration. I checked the time-concentraion curce and it turned out that these points are normal. I have no idea what to do. Anyone who can give me a hand would be my saver! Thank youuuu guys!
Hi Fafa, strictly speaking this is a community for NLME, Pirana etc,. (i.e.Certara products), however to look at your modelling questuion we woudl really need to see raw data and NM control stream and any other model you have created.