Skip to main content

Selective inference on multiple families of hypotheses

Buy Article:

$51.00 plus tax (Refund Policy)

Abstract:

In many complex multiple‐testing problems the hypotheses are divided into families. Given the data, families with evidence for true discoveries are selected, and hypotheses within them are tested. Neither controlling the error rate in each family separately nor controlling the error rate over all hypotheses together can assure some level of confidence about the filtration of errors within the selected families. We formulate this concern about selective inference in its generality, for a very wide class of error rates and for any selection criterion, and present an adjustment of the testing level inside the selected families that retains control of the expected average error over the selected families.

Keywords: False discovery rate; Familywise error rate; Hierarchical testing; Multiple testing; Selective inference

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/rssb.12028

Publication date: January 1, 2014

bpl/rssb/2014/00000076/00000001/art00014
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more