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    Optimal and maximin procedures for multiple testing problems

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    Virtualconference
    Auteurs : Rosset, Saharon (Auteur de la Conférence)
    CIRM (Editeur )

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    Résumé : Multiple testing problems are a staple of modern statistics. The fundamental objective is to reject as many false null hypotheses as possible, subject to controlling an overall measure of false discovery, like family-wise error rate (FWER) or false discovery rate (FDR). We formulate multiple testing of simple hypotheses as an infinite-dimensional optimization problem, seeking the most powerful rejection policy which guarantees strong control of the selected measure. We show that for exchangeable hypotheses, for FWER or FDR and relevant notions of power, these problems lead to infinite programs that can provably be solved. We explore maximin rules for complex alternatives, and show they can be found in practice, leading to improved practical procedures compared to existing alternatives. We derive explicit optimal tests for FWER or FDR control for three independent normal means. We find that the power gain over natural competitors is substantial in all settings examined. We apply our optimal maximin rule to subgroup analyses in systematic reviews from the Cochrane library, leading to an increased number of findings compared to existing alternatives.

    Keywords : Multiple comparisons; hypothesis testing; false discovery rate

    Codes MSC :
    62F03 - Hypothesis testing
    62J15 - Paired and multiple comparisons
    62P10 - Applications of statistics to biology and medical sciences

    Ressources complémentaires :
    https://www.cirm-math.fr/RepOrga/2146/Slides/Rosset.pdf

      Informations sur la Vidéo

      Réalisateur : Hennenfent, Guillaume
      Langue : Anglais
      Date de publication : 15/06/2020
      Date de captation : 05/06/2020
      Sous collection : Research talks
      arXiv category : Machine Learning ; Statistics Theory
      Domaine : Probability & Statistics
      Format : MP4 (.mp4) - HD
      Durée : 00:46:04
      Audience : Researchers
      Download : https://videos.cirm-math.fr/2020-06-05_Rosset.mp4

    Informations sur la Rencontre

    Nom de la rencontre : Mathematical Methods of Modern Statistics 2 / Méthodes mathématiques en statistiques modernes 2
    Organisateurs de la rencontre : Bogdan, Malgorzata ; Graczyk, Piotr ; Panloup, Fabien ; Proïa, Frédéric ; Roquain, Etienne
    Dates : 15/06/2020 - 19/06/2020
    Année de la rencontre : 2020
    URL Congrès : https://www.cirm-math.com/cirm-virtual-...

    Données de citation

    DOI : 10.24350/CIRM.V.19642803
    Citer cette vidéo: Rosset, Saharon (2020). Optimal and maximin procedures for multiple testing problems. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19642803
    URI : http://dx.doi.org/10.24350/CIRM.V.19642803

    Voir aussi

    Bibliographie

    • ROSSET, Saharon, HELLER, Ruth, PAINSKY, Amichai, et al. Optimal and Maximin Procedures for Multiple Testing Problems. arXiv preprint arXiv:1804.10256, 2018. - https://arxiv.org/abs/1804.10256



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