Statistical inference for relative potency in bivariate dose-response assays with correlated responses.
The analysis of dose-response assays measuring two correlated responses is considered. Attention is given to statistical inference for the potency ratio. Results from a simulation study suggest that a post hoc adjustment for the correlation in parameter estimates obtained from univariate fits provides nearly as much power to detect differences in potency as a bivariate response model fit.
Iturria
Stephen J
SJ
Eli Lilly & Company, Lilly Corporate Center, Global Statistical Sciences, Indianapolis, IN 46285, USA. iturriasj@lilly.com
D000465:Algorithms; D000704:Analysis of Variance; D003198:Computer Simulation; D004305:Dose-Response Relationship, Drug; D004345:Drug Industry; D015233:Models, Statistical