Michael Branson

TL;DR: A unified strategy to the analysis of data from dose- response studies is described which combines multiple comparison and modeling techniques and assumes the existence of several candidate parametric models and uses multiple comparison techniques to choose the one most likely to represent the true underlying dose-response curve, while preserving the family-wise error rate.

TL;DR: The proposed approach is attractive for nonconfirmatory trials, but under certain circumstances extensions to the confirmatory setting could be envisaged as well.

TL;DR: It is argued that moving from the traditional clinical development approach based on sequential, distinct phases towards a more integrated view that uses adaptive design tools to increase flexibility and maximize the use of accumulated knowledge could have an important role in achieving these goals.

TL;DR: It is shown that the standard method of estimating the power parameter from the historical and current data is inappropriate, and it is suggested to use a modified power prior approach or to consider alternative methods instead.