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  1. Vutov, Vladimir [Author] ; Dickhaus, Thorsten-Ingo [Degree supervisor]; Brannath, Werner [Degree supervisor] Universität Bremen

    Large-scale multiple testing under arbitrary covariance dependency and topological data analysis for mass spectrometry imaging applications

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    Bremen, 2023

  2. Hoang, Anh-Tuan [Author] ; Dickhaus, Thorsten-Ingo [Degree supervisor]; Heller, Ruth [Degree supervisor] Universität Bremen

    Statistische Methoden zur Replizierbarkeitsbewertung im Rahmen mehrstufiger Studien = Statistical methods for replicability analyses in the context of multi-stage studies

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    Bremen, 2022

  3. Dickhaus, Thorsten-Ingo [Author]; Vutov, Vladimir [Author]

    Multiple multi-sample testing under arbitrary covariance dependency

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    30 July 2023

    Published in: Statistics in medicine ; 42(2023), 17, Seite 2944-2961

  4. Steffen, Nico [Author]; Dickhaus, Thorsten-Ingo [Author]

    Optimizing effective numbers of tests by vine copula modeling

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    2020

    Published in: Dependence modeling ; 8(2020), 1, Seite 172-185

  5. Contzen, Justus [Author]; Dickhaus, Thorsten-Ingo [Author]; Lohmann, Gerrit [Author]

    Long-term temporal evolution of extreme temperature in a warming Earth

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    2023

    Published in: PLOS ONE ; 18(2023), 2, Artikel-ID e0280503

  6. Neumann, André [Author]; Peitek, Norman [Author]; Brechmann, André [Author]; Tabelow, Karsten [Author]; Dickhaus, Thorsten-Ingo [Author] ; Weierstraß-Institut für Angewandte Analysis und Stochastik

    Utilizing anatomical information for signal detection in functional magnetic resonance imaging

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    Berlin: Weierstraß-Institut für Angewandte Analysis und Stochastik Leibniz-Institut im Forschungsverbund Berlin e.V., 2021

    Published in: Weierstraß-Institut für Angewandte Analysis und Stochastik: Preprint ; 2806

  7. Mieth, Bettina [Author]; Kloft, Marius [Author]; Rodríguez, Juan Antonio [Author]; Sonnenburg, Sören [Author]; Vobruba, Robin [Author]; Morcillo-Suárez, Carlos [Author]; Farré, Xavier [Author]; Marigorta, Urko M. [Author]; Fehr, Ernst [Author]; Dickhaus, Thorsten-Ingo [Author]; Blanchard, Gilles [Author]; Schunk, Daniel [Author]; Navarro, Arcadi [Author]; Müller, Klaus-Robert [Author]

    Combining multiple hypothesis testing with machine learning increases the statistical power of genome-wide association studies

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    2016

    Published in: Scientific reports ; 6(2016), Seite 366-1