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- W2494470136 abstract "In this chapter we introduce the basic statistical methods to design and analyze clinical trials with hypotheses adaption at an interim analysis. We first describe the various sources of multiplicity which can arise in such trial designs. To avoid an inflation of the overall Type I error rate beyond a pre-specified significance level α, such considerations have to be taken into account. In Sect. 10.2 we review the closure principle, which is a powerful and flexible method to construct multiple test procedures controlling the overall Type I error rate for a given family of null hypotheses in a fixed sample design. In Sect. 10.3 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." @default.
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- W2494470136 date "2016-01-01" @default.
- W2494470136 modified "2023-09-27" @default.
- W2494470136 title "Multiple Testing in Adaptive Designs" @default.
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- W2494470136 doi "https://doi.org/10.1007/978-3-319-32562-0_10" @default.
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