Linked Life Data

17487941

Source:http://linkedlifedata.com/resource/pubmed/id/17487941

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2008-1-14
pubmed:abstractText
In this paper we study sample size calculation methods for the asymptotic Wilcoxon-Mann-Whitney test for data with or without ties. The existing methods are applicable either to data with ties or to data without ties but not to both cases. While the existing methods developed for data without ties perform well, the methods developed for data with ties have limitations in that they are either applicable to proportional odds alternatives or have computational difficulties. We propose a new method which has a closed-form formula and therefore is very easy to calculate. In addition, the new method can be applied to both data with or without ties. Simulations have demonstrated that the new sample size formula performs very well as the corresponding actual powers are close to the nominal powers.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0277-6715
pubmed:author
pubmed:issnType
Print
pubmed:day
10
pubmed:volume
27
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
462-8
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Sample size calculation for the Wilcoxon-Mann-Whitney test adjusting for ties.
pubmed:affiliation
Eli Lilly and Company, Indianapolis, IN 46285, USA. yzhao@lilly.com
pubmed:publicationType
Journal Article