title: A new class of self-designing clinical trials.
abstract: A class of self-designing clinical trials is considered which according to an effective but simple, finite learning algorithm consists of automatically adaptively planned weighted group sequential trials with a decision about rejection of the null-hypothesis at each step, but the full level-alpha-test at the end of the study preserved.
authors.affiliation: Department of Statistics, University of Dortmund, D-44221 Dortmund, Germany.
authors.forename: J
authors.initials: J
authors.lastname: Hartung
mesh_terms: D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D003625:Data Collection / Q000706:statistics & numerical data*; D006801:Humans; D008432:Mathematical Computing; D012985:Software Design