Linked Life Data

2356824

Source:http://linkedlifedata.com/resource/pubmed/id/2356824

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1 Suppl
pubmed:dateCreated
1990-7-23
pubmed:abstractText
Both the Knox test and the Mantel test for the presence of disease clustering have previously been shown to be sensitive to changes that occur in the relative geographic population distribution during the time period of study. Although these procedures do not require knowledge of the underlying population density, they implicitly assume it is constant with time. If this is not the case, one may detect clustering which is completely independent of the disease process and simply reflects time-space clustering of the population. Modified procedures are presented which incorporate information from appropriately selected controls to adjust for the effect of a shifting population. Results of a computer simulation study demonstrating the stability of the modified tests in the face of an expanding population are reported.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
0002-9262
pubmed:author
pubmed:issnType
Print
pubmed:volume
132
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S131-5
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1990
pubmed:articleTitle
Controlling for time-varying population distributions in disease clustering studies.
pubmed:affiliation
Department of Biostatistics and Information Systems, St. Jude Children's Research Hospital, Memphis, TN 38101.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't