Re: Bayesian estimation: a specific case

From: "Jogarao Gobburu 301-594-5354 FAX 301-480-3212" <GOBBURUJ@cder.fda.gov> Subject: Re: Bayesian estimation: a specific case Date: Wed, 04 Oct 2000 09:09:31 -0400 (EDT) Hello, 1. I believe the suggestions offered earlier are valid ONLY if you do not have a priori expectations that PK-wise pop1 and pop2 are different. If you 'expect' that pop1,2 are different, your model is not complete. 2. Why not simply combine the 2 data sets and get the population parameters? Use a dummy variable to differentiate the two populations to start with, followed by a more mechanistic approach to explore 'relevant' prognostic factors (eg: variables reflecting renal/hepatic function etc..) Regards, Joga Gobburu Pharmacometrics, CDER, FDA.