A new class of self-designing clinical trials

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-α-test at the end of the study preserved.

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Year of publication:	2000
Authors:	Hartung, Joachim
Publisher:	Dortmund : Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen

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Series:	Technical Report ; 2000,12
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Working Paper
Language:	English
Other identifiers:	76669299X [GVK] hdl:10419/77230 [Handle] RePEc:zbw:sfb475:200012 [RePEc]
Source:	EconStor

Persistent link: https://www.econbiz.de/10010316573