作者: Carl-Fredrik Burman , Christian Sonesson
DOI: 10.1111/J.1541-0420.2006.00626.X
关键词: Sample size determination 、 Null hypothesis 、 Algorithm 、 Alternative hypothesis 、 Type I and type II errors 、 Design methods 、 Mathematics 、 Inference 、 Focus (optics) 、 Data mining 、 Test (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.