Multiple Testing in a Two-Stage Adaptive Design With Combination Tests Controlling FDR
控制错误发现率的两阶段自适应多重检验与组合检验
Testing multiple null hypotheses in two stages to decide which of these can be rejected or accepted at the first stage and which should be followed up for further testing having had additional observations is of importance in many scientific studies. We develop two procedures, each with two different combination functions, Fisher's and Simes’, to combine p-values from two stages, given prespecified boundaries on the first-stage p-values in terms of the false discovery rate…