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Comments on: Hierarchical Inference for genome-wide association studies: a view on methodology with software by Paulo C. Rodrigues and Vanda M. Lourenço

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  • Paulo C. Rodrigues

    (Federal University of Bahia)

  • Vanda M. Lourenço

    (NOVA University of Lisbon and CMA)

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  • Paulo C. Rodrigues & Vanda M. Lourenço, 2020. "Comments on: Hierarchical Inference for genome-wide association studies: a view on methodology with software by Paulo C. Rodrigues and Vanda M. Lourenço," Computational Statistics, Springer, vol. 35(1), pages 57-58, March.
    • Handle: RePEc:spr:compst:v:35:y:2020:i:1:d:10.1007_s00180-019-00941-8
    DOI: 10.1007/s00180-019-00941-8
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    References listed on IDEAS

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    1. N A Heard & P Rubin-Delanchy, 2018. "Choosing between methods of combining $p$-values," Biometrika, Biometrika Trust, vol. 105(1), pages 239-246.
    2. Nicolai Meinshausen, 2008. "Hierarchical testing of variable importance," Biometrika, Biometrika Trust, vol. 95(2), pages 265-278.
    3. Jonas R. Klasen & Elke Barbez & Lukas Meier & Nicolai Meinshausen & Peter Bühlmann & Maarten Koornneef & Wolfgang Busch & Korbinian Schneeberger, 2016. "A multi-marker association method for genome-wide association studies without the need for population structure correction," Nature Communications, Nature, vol. 7(1), pages 1-8, December.
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