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• W3204604386 abstract "Statistical testing is classically used as an exploratory tool to search for association between a phenotype and many possible explanatory variables. This approach often leads to multiple testing under dependence. We assume a hierarchical structure between tests via an Ornstein-Uhlenbeck process on a tree. The process correlation structure is used for smoothing the p-values. We design a penalized estimation of the mean of the Ornstein-Uhlenbeck process for p-value computation. The performances of the algorithm are assessed via simulations. Its ability to discover new associations is demonstrated on a metagenomic dataset. The corresponding R package is available from https://github.com/abichat/zazou." @default.
• W3204604386 created "2021-10-11" @default.
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• W3204604386 date "2021-09-27" @default.
• W3204604386 modified "2023-09-25" @default.
• W3204604386 title "Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process." @default.
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• W3204604386 hasPublicationYear "2021" @default.
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