Conditionally unbiased and near unbiased estimation of the selected treatment mean for multistage drop-the-losers trials.

ABSTRACT: The two-stage drop-the-loser design provides a framework for selecting the most promising of K experimental treatments in stage one, in order to test it against a control in a confirmatory analysis at stage two. The multistage drop-the-losers design is both a natural extension of the original two-stage design, and a special case of the more general framework of Stallard & Friede () (Stat. Med. 27, 6209-6227). It may be a useful strategy if deselecting all but the best performing treatment after one interim analysis is thought to pose an unacceptable risk of dropping the truly best treatment. However, estimation has yet to be considered for this design. Building on the work of Cohen & Sackrowitz () (Stat. Prob. Lett. 8, 273-278), we derive unbiased and near-unbiased estimates in the multist

SUBMITTER: Bowden J 

PROVIDER: S-EPMC4034592 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature