Linked Life Data

7730894

Source:http://linkedlifedata.com/resource/pubmed/id/7730894

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
1995-5-31
pubmed:abstractText
Direct measures of SES are seldom included in medical records or large databases on disease incidence or survival, forcing researchers to infer the SES characteristics of individuals from aggregate data (e.g. census tract-level income, education, etc.). This paper assesses the degree of error that results from such inference and the impact this error may have on reported relationships between SES and survival. The authors obtained both individual and census tract-level data on 536 persons diagnosed with cancer between 1980 and 1982 and monitored their survival through 1992. Pearson correlations between individual-level and census tract-level SES variables ranged between 0.2 and 0.4. Statistically significant relationships between SES and survival were observed in the models based on individual-level but not census tract-level SES data. The authors computed the degree to which inference of individual-level from census tract-level SES reduces estimates of risk ratios across SES. It appears likely that much larger numbers of observations than have been used in published studies will be needed to better understand the relationship of SES to survival and other disease outcomes.
pubmed:grant
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0895-4356
pubmed:author
pubmed:issnType
Print
pubmed:volume
47
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
903-9
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
1994
pubmed:articleTitle
Detecting survival effects of socioeconomic status: problems in the use of aggregate measures.
pubmed:affiliation
Sacramento Center, School of Public Administration, University of Southern California 95814-2919, USA.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't