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- W3100780377 abstract "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." @default.
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- W3100780377 date "2020-01-06" @default.
- W3100780377 modified "2023-09-23" @default.
- W3100780377 title "Hierarchical inference for genome-wide association studies: a view on methodology with software" @default.
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- W3100780377 doi "https://doi.org/10.1007/s00180-019-00939-2" @default.
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