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Author(s):  
Antoine Bichat ◽  
Christophe Ambroise ◽  
Mahendra Mariadassou

AbstractStatistical 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.



2016 ◽  
Vol 213 ◽  
pp. 47-59 ◽  
Author(s):  
M. Bordewich ◽  
N. Tokac
Keyword(s):  






2006 ◽  
Vol 12 (3) ◽  
pp. 217-230 ◽  
Author(s):  
Chia-Mao Huang ◽  
Bang Ye Wu ◽  
Chang-Biau Yang




Psychometrika ◽  
1995 ◽  
Vol 60 (1) ◽  
pp. 47-75 ◽  
Author(s):  
Martin R. Young ◽  
Wayne S. DeSarbo


Psychometrika ◽  
1994 ◽  
Vol 59 (4) ◽  
pp. 527-566 ◽  
Author(s):  
Wayne S. DeSarbo ◽  
Rabikar Chatterjee ◽  
Juyoung Kim


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