In the development of medical treatments, identification of promising thera
pies and inference on selected treatments are usually performed in subseque
nt separate trials. An adaptive two-stage design is proposed for the situat
ion of multiple treatments to be compared with a control, allowing integrat
ion of both steps within a single confirmatory trial controlling the multip
le level alpha. After the interim analysis, the trial may be terminated ear
ly or is continued with a second stage, where the set of treatments may be
reduced due to lack of efficacy or to safety problems. The procedure is hig
hly flexible with respect to the distributional assumptions, stopping rules
and selection criteria and allows a completely free recalculation of the s
ample size for the second stage. Simulations show that the method may be su
bstantially more powerful than classical one-stage multiple treatment desig
ns with the same total sample size. As in conventional strategies with a se
ries of separate experiments, a reasonable selection strategy has to be app
lied in order to prevent proceeding with non-optimal treatments. Copyright
(C) 1999 John Wiley & Sons, Ltd.