Selective inference in complex research
Open Access
- 13 November 2009
- journal article
- research article
- Published by The Royal Society in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Vol. 367 (1906), 4255-4271
- https://doi.org/10.1098/rsta.2009.0127
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.This publication has 22 references indexed in Scilit:
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