Workshop on current and future trends in multiple hypothesis testing

Recording of hybrid workshop. Session 1: Career-young statistician presentations Talks from: Anna Hutchinson (MRC Biostatistics Unit, University of Cambridge) – Speaking on Leveraging auxiliary data in high-dimensional association testing using conditional false discovery rates Ziyu Xu (Carnegie Mellon University) – Speaking on Dynamic algorithms for online multiple testing Marie Perrot-Dockès (IUT de Paris, Université de Paris) – Speaking on Post hoc false discovery proportion inference under a Hidden Markov Model Session 2: Multiple testing in academia and industry Invited talks from: Frank Bretz (Novartis) – Speaking on Multiple testing in clinical trials Ruth Heller (Tel-Aviv University) – Speaking on Optimal multiple testing procedures Aaditya Ramdas (Carnegie Mellon University) – Speaking on Interactive multiple testing Session 3: Panel discussion and Q&A Organised by the MRC Biostatistics Unit, University of Cambridge, and supported by the Biometrika Trust.