RE: Describing variability

From: "Kowalski, Ken" Subject:RE: [NMusers] Describing variability Date:Tue, 1 Apr 2003 13:00:26 -0500 Diane, I'm pretty much in agreement with your comments below and it is certainly a good point that we need to keep in mind the intended use of the model. But I'm sure we both can dream up situations where we would not want to use a severely over-parameterized PK/PD model to design a future study even when we are in a learning mode. Moreover, if we have learned by model development, then lets make use of those estimates and not just the form of the model when we fit a new set of data that may have limited information to estimate all the parameters. If a Bayesian approach is too difficult, why not fix certain estimates based on prior modeling or pool the data so as to remove the ill-conditioning? That would be my first choice. Ken