Linked Life Data

2044079

Source:http://linkedlifedata.com/resource/pubmed/id/2044079

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1991-7-12
pubmed:abstractText
The aim of this study was to find a sensible fusion of small geographical areas into, as far as possible, homogeneous larger regions with the necessary minimal population size according to 14 indicators of socioeconomic development, which is known to be indirectly related to cancer incidence. The starting point was the minimal population size which could still provide an estimation of a statistically significantly lower rate relative to the national average. Being aware of the heterogeneity and complexity of cancer etiology, the problem was studied step by step: regionalization was obtained according to selected socioeconomic indicators with different numbers of regions (from 60 to 32). With the best-obtained regionalization into 32 regions by clustering with constraints methods, zero values were reduced from 112 to 6, while almost the same variance of most cancers was retained.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0361-090X
pubmed:author
pubmed:issnType
Print
pubmed:volume
15
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
77-82
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1991
pubmed:articleTitle
Solving the problem of small-population-based areas for the analysis of rare diseases by clustering with constraints methods.
pubmed:affiliation
Cancer Registry of Slovenia, Institute of Oncology, Ljubljana, Yugoslavia.
pubmed:publicationType
Journal Article