Linked Life Data

7604164

Source:http://linkedlifedata.com/resource/pubmed/id/7604164

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1995-8-7
pubmed:abstractText
Since 1980 the German Children's Cancer Registry has documented all childhood malignancies in the Federal Republic of Germany. Various statistical procedures have been proposed to identify municipalities or other geographic units with increased numbers of malignancies. Usually the Poisson distribution, which requires the malignancies to be distributed homogeneously and uncorrelated, is applied. Other discrete statistical distributions (so-called cluster distributions) like the generalized or compound Poisson distributions are applicable more generally. In this paper we present a first explorative approach to the question of whether it is necessary to use one of these cluster distributions to model the data of the German Children's Cancer Registry. In conclusion, we find no indication that the Poisson approach is insufficient.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0301-634X
pubmed:author
pubmed:issnType
Print
pubmed:volume
34
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
7-11
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Applicability of the Poisson distribution to model the data of the German Children's Cancer Registry.
pubmed:affiliation
Institut für Medizinische Statistik und Dokumentation, Johannes-Gutenberg-Universität Mainz, Germany.
pubmed:publicationType
Journal Article