Linked Life Data

17342952

Source:http://linkedlifedata.com/resource/pubmed/id/17342952

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2007-3-8
pubmed:abstractText
When combining adaptive designs with control of the False Discovery Rate one has to keep in mind that the most frequently used procedure for controlling the False Discovery Rate--the explorative Simes procedure--is a stepwise multiple testing procedure. At the interim analysis of an adaptive design it is however not yet known what the boundaries for rejection of hypotheses in the final analysis will be as these boundaries depend on the size of the final p-values. Therefore classical adaptive designs with a predefined stopping criterion for early rejection of hypotheses are not well suited. We propose a generalized definition of a global p-value for a two-stage adaptive design permitting a flexible decision for stopping at the interim analysis. By means of a simulation study in the field of genetic epidemiology we illustrate how applying such a two-stage design can reduce costs.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0323-3847
pubmed:author
pubmed:issnType
Print
pubmed:volume
49
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
94-106
pubmed:dateRevised
2007-11-6
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Combining adaptive designs with control of the false discovery rate--a generalized definition for a global p-value.
pubmed:affiliation
Institut für Medizinische Biometrie, Epidemiologie und Informatik, Obere Zahlbacher Strasse 69, 55101 Mainz, Germany. victor@imbei.uni-mainz.de
pubmed:publicationType
Journal Article