Linked Life Data

7569493

Source:http://linkedlifedata.com/resource/pubmed/id/7569493

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
1995-11-21
pubmed:abstractText
In diseases with a complex etiology including a genetic component, an important issue is to determine the proportion of cases really having inherited the disease. This is not easy in late-onset diseases where censoring might obscure the transmission pattern of the disease and give an apparently non-genetic distribution of the cases. We present a model that allows the estimation of the proportion of genetic cases in late-onset diseases. This model takes censoring into account by explicit modelling of the time dependency of the onset of the disease. The model is illustrated with an example based on an epidemiological survey in Alzheimer's disease and with simulated data.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0277-6715
pubmed:author
pubmed:issnType
Print
pubmed:day
30
pubmed:volume
14
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1353-63
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Estimation of the proportion of genetic cases in late-onset diseases: an application to Alzheimer's disease.
pubmed:affiliation
INSERM U360, Villejuif, France.
pubmed:publicationType
Journal Article