Selective inference in complex research-Reference-Cited by-同舟云学术

Selective inference in complex research

Published:2009-11-13 Issue:1906 Volume:367 Page:4255-4271
ISSN:1364-503X
Container-title:Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
language:en
Short-container-title:Phil. Trans. R. Soc. A.

Author:

Benjamini Yoav¹,Heller Ruth²,Yekutieli Daniel¹

Affiliation:

1. Department of Statistics and Operations Research, Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel

2. Faculty of Industrial Engineering and Management, Technicon–Israel Institute of Technology, Haifa, Israel

Abstract

We explain the problem of selective inference in complex research using a recently published study: a replicability study of the associations in order to reveal and establish risk loci for type 2 diabetes. The false discovery rate approach to such problems will be reviewed, and we further address two problems: (i) setting confidence intervals on the size of the risk at the selected locations and (ii) selecting the replicable results.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Link

https://royalsocietypublishing.org/doi/pdf/10.1098/rsta.2009.0127

Reference24 articles.

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