A multiple testing method for hypotheses structured in a directed acyclic graph.

  title={A multiple testing method for hypotheses structured in a directed acyclic graph.},
  author={Rosa J. Meijer and Jelle J. Goeman},
  journal={Biometrical journal. Biometrische Zeitschrift},
  volume={57 1},
We present a novel multiple testing method for testing null hypotheses that are structured in a directed acyclic graph (DAG). The method is a top-down method that strongly controls the familywise error rate and can be seen as a generalization of Meinshausen's procedure for tree-structured hypotheses. Just as Meinshausen's procedure, our proposed method can be used to test for variable importance, only the corresponding variable clusters can be chosen more freely, because the method allows for… CONTINUE READING
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  • 2011
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