Linked Life Data

9878904

Source:http://linkedlifedata.com/resource/pubmed/id/9878904

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
1999-4-1
pubmed:abstractText
This article presents statistical methods recently developed for the analysis of maps of disease rates when the geographic units have small populations at risk. They adopt the Bayesian approach and use intensive computational methods for estimating risk in each area. The objective of the methods is to separate the variability of rates due to differences between regions from the background risk due to pure random fluctuation. Risk estimates have a total mean quadratic error smaller than usual estimates. We apply these new methods to estimate infant mortality risk in the municipalities of the State of Minas Gerais in 1994.
pubmed:language
por
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0102-311X
pubmed:author
pubmed:issnType
Print
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
713-23
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:articleTitle
[Maps of epidemiological rates: a Bayesian approach].
pubmed:affiliation
Departamento de Estatística, Universidade Federal de Minas Gerais, Caixa Postal 702, Belo Horizonte, MG 30161-970, Brasil. assuncao@est.ufmg.br
pubmed:publicationType
Journal Article, Comparative Study, English Abstract, Research Support, Non-U.S. Gov't