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https://doi.org/10.1007/978-3-531-90637-9ral approach is provided by the use of the .-.. This more sophisticated approach can handle unpredictable sample sizes per stage and we will see that even the maximum number of stages, ., need not be fixed in advance when using this approach. The extension to the .-..

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Procedures with Unequally Sized Stagesral approach is provided by the use of the .-.. This more sophisticated approach can handle unpredictable sample sizes per stage and we will see that even the maximum number of stages, ., need not be fixed in advance when using this approach. The extension to the .-..

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Decision Tools for Adaptive Designss or at least guidance on how to use this information for the interim decisions, for example, a guidance when a sample size modification should take place. In this chapter the use of conditional power for providing sample size recalculations is introduced. We remain focused on designs with a single null hypothesis.

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Multiple Testing in Adaptive Designsed sample design. In Sect. . we then describe the core methodology to test adaptively multiple hypotheses by using adaptive combination tests, which essentially apply the methods described in the previous chapters to the closure principle. The resulting methods are very general and allow for flexible adaptations of hypotheses at interim.

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Sadao Mori,Howard G. Barth organelle or compartment to be examined allowed a great deal of information to be gained, in the past, on biomolecular structures and kinetics (Udenfried, 1969). Flow cytometry, which has become such an important methodology for auto mated cytology, is just an example of the extent to which the flu

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