Are flexible designs sound

作者: Carl-Fredrik Burman , Christian Sonesson

DOI: 10.1111/J.1541-0420.2006.00626.X

关键词: Sample size determinationNull hypothesisAlgorithmAlternative hypothesisType I and type II errorsDesign methodsMathematicsInferenceFocus (optics)Data miningTest (assessment)

摘要: Flexible designs allow large modifications of a design during an experiment. In particular, the sample size can be modified in response to interim data or external information. A standard flexible methodology combines such with weighted test, which guarantees type I error level. However, this inference violates basic principles. example independent N(mu, 1) observations, test rejects null hypothesis mu < = 0 while average observations is negative. We conclude that its most general form corresponding not valid. Several possible are discussed focus on alternative tests.

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