Linked Life Data

970515

Source:http://linkedlifedata.com/resource/pubmed/id/970515

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
10
pubmed:dateCreated
1976-12-1
pubmed:abstractText
A generalization of ordinary least squares methods is used in the analysis of physician visit data from a complex sample survey. The emphasis, in this paper, is on the valid substantive inferences to be drawn from an analysis of this type of data. The procedure is found to be useful in two ways. First, the resultion on a national basis. It is concluded that age is an imp-s of a comparative sampling study are reported. Second, the procedure is used to remove statistically non-significant variation from the data in order to generate fitted or smoothed estimates on which the substantive analyst may focus his attention. These fitted values are then examined for implications to physician service utilization on a national basis. It is concluded that age is an important variable while the effect of sex and race depends on age. Similarly, residence and income are important but the effect of education depends on the level of income.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
AIM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
0090-0036
pubmed:author
pubmed:issnType
Print
pubmed:volume
66
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
979-83
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
1976
pubmed:articleTitle
An analysis of physician visit data from a complex sample survey.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.