Linked Life Data

7481193

Source:http://linkedlifedata.com/resource/pubmed/id/7481193

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
14
pubmed:dateCreated
1995-12-6
pubmed:abstractText
We present results from a simulation study for the estimation of a common odds ratio in multiple 2 x 2 tables when the data are correlated within clusters. We model the correlation of the data by the beta-binomial distribution. Through a simulation study, we compare the Mantel-Haenszel estimator with Rao and Scott's estimator in terms of their biases, observed variances, relative efficiencies of their variances and 95 per cent coverage proportions. We limit the simulation study to the case where there are the same number of subjects in each cluster and the same number of observations in each row of each stratum. When rho = 0, we recommend use of the Mantel-Haenszel estimator gamma MH with an unadjusted variance and Rao and Scott's estimator gamma RSP with a pooled design effect. In general, when rho > 0, we recommend the Mantel-Haenszel estimator gamma MH with an adjusted variance and Rao and Scott's estimator gamma RSP with a pooled design effect.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0277-6715
pubmed:author
pubmed:issnType
Print
pubmed:day
30
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1567-76
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Estimation of a common odds ratio under binary cluster sampling.
pubmed:affiliation
Department of biostatistics, City of Hope Medical Center, Duarte, CA 91010, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.