Linked Life Data

18218064

Source:http://linkedlifedata.com/resource/pubmed/id/18218064

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2008-11-26
pubmed:abstractText
SUMMARY: Interval-censored life-history data arise when the events of interest are only detectable at periodic assessments. When interest lies in the occurrence of two such events, bivariate-interval censored event time data are obtained. We describe how to fit a four-state Markov model useful for characterizing the association between two interval-censored event times when the assessment times for the two events may be generated by different inspection processes. The approach treats the two events symmetrically and enables one to fit multiplicative intensity models that give estimates of covariate effects as well as relative risks characterizing the association between the two events. An expectation-maximization (EM) algorithm is described for estimation in which the maximization step can be carried out with standard software. The method is illustrated by application to data from a trial of HIV patients where the events are the onset of viral shedding in the blood and urine among individuals infected with cytomegalovirus.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1541-0420
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
64
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1100-9
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
A multistate model for bivariate interval-censored failure time data.
pubmed:affiliation
Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada. xlhuang@mdanderson.org
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't