Simon,
Perhaps you could help me with my problem anyway. I developed a population PK model with a single covariate (body weight) from dataset A. Now I want to predict Cmax values for a different group of patients (dataset . Because the model includes a unique absorption model (2 different absorption components), I need to simulate a 24-hr profile for each subject to then extract a Cmax. Additionally, dataset B includes multiple doses and weights (e.g. Week 1, Week 2, Week 4, Week 8, etc.) for which I need to input a dose and weight and output a Cmax (doses can change each week).
1. Can I directly output a Cmax as a secondary variable from my simulation? If so, how is that done when it is not calculated?
2. What is needed in my input dataset besides subject ID, Day, Dose, and weight? Are rows with no concentration measurements needed to perform the simulation? Or with the "seq(0,24,1)" be enough to allow the simulated concentrations to be output with only dosing rows?
Right now I am spending a lot of time building a NONMEM-like dataset with no concentration measurements in order to do the simulation. I tried to build a dataset with just the dose information, but then I received the error noted above ... and now I'm stuck.
Thanks in advance,
Nathan