title: Confirmatory clinical trials with an adaptive design.
abstract: Adaptive designs are one of the most promising developments in statistics with applications to clinical trials. Obviously, knowledge at the beginning of a clinical trial will always be limited. Thus it may seem logical that the knowledge from accumulating information should be used to optimize the design of the trial. This paper discusses conditions under which this may be possible in phase III clinical trials where the principal aim is confirmation of hypotheses that have been developed in earlier stages of drug development.
authors.affiliation: Bundesinstitut für Arzneimittel und Medizinprodukte, Kurt-Georg-Kiesinger Allee 3, 53175 Bonn, Germany. a.koch@bfarm.de
authors.forename: Armin
authors.initials: A
authors.lastname: Koch
mesh_terms: D001699:Biometry; D017322:Clinical Trials, Phase II as Topic / Q000706:statistics & numerical data*; D017326:Clinical Trials, Phase III as Topic / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D012107:Research Design / Q000706:statistics & numerical data*