Statistical power for AUC and Cmax

From: Yu_Dale Subject: [NMusers] Statistical power for AUC and Cmax Date:Mon, 24 Jun 2002 11:25:56 -0700 This is not a strictly NONMEM question but may be someone could give me some input here. In designing a bioequivalence study, the traditional approach is to power the study based on Cmax since it is typically more variable than AUC. The idea is that if Cmax passess the BE criterion, AUC will always follow. Is anyone aware of any simulation or publication that verifies this postulate? On the other hand, is the idea of picking one of the two metrics incorrect? Should one treat AUC and Cmax as two separate outcomes and therefore one should consider the joint probability of coming up with 80% power? Thanks for your help in advance. Dale Yu

From: "Masson, ric" Subject:RE : [NMusers] Statistical powerfor AUC and Cmax Date:Sat, 29 Jun 2002 22:10:42 -0400 BE are typically powered based on the intra-subject CV of Cmax, and AUC. In most cases, Cmax exhibits greater variability than AUC since it is affected by not only F and Clearance, but also V and Ka; this is true for most drugs but there is exception. Thus, typically BE studies usually fails on Cmax. For US, since the criteria (90% CI within 80-125%) is based on both Cmax, and AUC, the study should be powered on the most variable parameters, usually Cmax. For regulatory approval, Cmax and AUC are considered as two separate outcomes. Cmax not only provide a matrix comparing rate of absorption but also maximum exposure, whereas AUC reflects total exposure. ?ric Masson, Pharm.D. Senior Director, Scientific and Regulatory Affairs Anapharm Inc.