Linked Life Data

19458343

Source:http://linkedlifedata.com/resource/pubmed/id/19458343

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2009-6-18
pubmed:abstractText
Disease prevalence is the combined result of duration, disease incidence, case fatality, and other mortality. If information is available on all these factors, and on fixed covariates such as genotypes, prevalence information can be utilized in the estimation of the effects of the covariates on disease incidence. Study cohorts that are recruited as cross-sectional samples and subsequently followed up for disease events of interest produce both prevalence and incidence information. In this paper, we make use of both types of information using a likelihood, which is conditioned on survival until the cross section. In a simulation study making use of real cohort data, we compare the proposed conditional likelihood method to a standard analysis where prevalent cases are omitted and the likelihood expression is conditioned on healthy status at the cross section.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1468-4357
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
10
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
575-87
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Joint analysis of prevalence and incidence data using conditional likelihood.
pubmed:affiliation
Department of Chronic Disease Prevention, National Institute for Health and Welfare, Mannerheimintie 166, 00300 Helsinki, Finland. olli.saarela@thl.fi
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't