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Hierarchical inference for genome-wide association studies: a view on methodology with software

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 نشر من قبل Claude Renaux
 تاريخ النشر 2018
  مجال البحث الاحصاء الرياضي
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We provide a view on high-dimensional statistical inference for genome-wide association studies (GWAS). It is in part a review but covers also new developments for meta analysis with multiple studies and novel software in terms of an R-package hierinf. Inference and assessment of significance is based on very high-dimensional multivariate (generalized) linear models: in contrast to often used marginal approaches, this provides a step towards more causal-oriented inference.



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