Linked Life Data

16612835

Source:http://linkedlifedata.com/resource/pubmed/id/16612835

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2006-12-28
pubmed:abstractText
A recent series of papers has raised issues regarding estimation of the key epidemiological parameters of variant Creutzfeldt-Jakob disease (vCJD) from fitting survival models to case data. In particular, it was stated that the scale of the epidemic cannot be estimated and must be fixed in any analysis. We show that this problem is an artefact of the approximate likelihood used in these papers to facilitate model-fitting, and is not a concern if estimation is based on the full likelihood. We also address comments in these papers regarding the choice of incubation period distribution.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
0277-6715
pubmed:author
pubmed:copyrightInfo
2006 John Wiley & Sons, Ltd.
pubmed:issnType
Print
pubmed:day
10
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
546-52
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
A note on parameter estimation for variant Creutzfeldt-Jakob disease epidemic models.
pubmed:affiliation
Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK. paul.clarke@lshtm.ac.uk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't