Linked Life Data

20664208

Source:http://linkedlifedata.com/resource/pubmed/id/20664208

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2010-10-19
pubmed:abstractText
We consider here the principle of 'evidential consistency' - that as one gathers more data, any well-behaved evidence measure should, in some sense, approach the true answer. Evidential consistency is essential for the genome-scan design (GWAS or linkage), where one selects the most promising locus(i) for follow-up, expecting that new data will increase evidence for the correct hypothesis. Earlier work [Vieland, Hum Hered 2006;61:144-156] showed that many popular statistics do not satisfy this principle; Vieland concluded that the problem stems from fundamental difficulties in how we measure evidence and argued for determining criteria to evaluate evidence measures. Here, we investigate in detail one proposed consistency criterion - expected monotonicity (ExpM) - for a simple statistical model (binomial) and four likelihood ratio (LR)-based evidence measures. We show that, with one limited exception, none of these measures displays ExpM; what they do display is sometimes counterintuitive. We conclude that ExpM is not a reasonable requirement for evidence measures; moreover, no requirement based on expected values seems feasible. We demonstrate certain desirable properties of the simple LR and demonstrate a connection between the simple and integrated LRs. We also consider an alternative version of consistency, which is satisfied by certain forms of the integrated LR and posterior probability of linkage.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1423-0062
pubmed:author
pubmed:copyrightInfo
Copyright © 2010 S. Karger AG, Basel.
pubmed:issnType
Electronic
pubmed:volume
70
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
151-66
pubmed:dateRevised
2011-7-26
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Expected monotonicity--a desirable property for evidence measures?
pubmed:affiliation
Division of Epidemiology, NY State Psychiatric Institute, Columbia School of Physicians and Surgeons, New York, NY 10032, USA. seh2 @ columbia.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural