Analysis of interval-censored data from circular migrant and non-migrant sexual partnerships using the EM algorithm

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dc.contributor.authorZuma, K.
dc.contributor.authorLurie, M.
dc.contributor.authorJorgensen, Murray A.
dc.date.accessioned2009-01-18T22:17:45Z
dc.date.available2009-01-18T22:17:45Z
dc.date.issued2006
dc.description.abstractIn epidemiological studies where subjects are seen periodically on follow-up visits, interval-censored data occur naturally. The exact time the change of state (such as HIV seroconversion) occurs is not known exactly, only that it occurred sometime within a specific time interval. Methods of estimation for interval-censored data are readily available when data are independent. However, methods for correlated interval-censored data are not well developed. This paper considers an approach for estimating the parameters when data are interval-censored and correlated within sexual partnerships. We consider the exact event times for interval-censored observations as unobserved data, only known to be between two time points. Dependency induced by sexual partnerships is modelled as frailties assuming a gamma distribution for frailties and an exponential distribution on the time to infection. This formulation facilitates application of the expectation-maximization (EM) algorithm. Maximization process maximizes the standard survival frailty model. Results show high degree of heterogeneity between sexual partnerships. Intervention strategies aimed at combating the spread of HIV and other sexually transmitted infections (STI)s should treat sexual partnerships as social units and fully incorporate the effects of migration in their strategies. Copyright © 2006 John Wiley & Sons, Ltd.en
dc.identifier.citationZuma, K., Lurie, M. & Jorgensen, M.(2006). Analysis of interval-censored data from circular migrant and non-migrant sexual partnerships using the EM algorithm. Statistics in Medicine. 26(2), 309-319.en
dc.identifier.doi10.1002/sim.2539en
dc.identifier.urihttps://hdl.handle.net/10289/1800
dc.language.isoen
dc.publisherJohn Wiley & Sons Limiteden
dc.relation.isPartOfStatistics in Medicineen_NZ
dc.relation.urihttp://www3.interscience.wiley.com/journal/112476617/abstracten
dc.subjectstatisticsen
dc.subjectinterval censoreden
dc.subjectEM algorithmen
dc.subjectfrailtyen
dc.subjectHIVen
dc.subjectsexual partnershipsen
dc.titleAnalysis of interval-censored data from circular migrant and non-migrant sexual partnerships using the EM algorithmen
dc.typeJournal Articleen
pubs.begin-page309en_NZ
pubs.elements-id32254
pubs.end-page319en_NZ
pubs.issue2en_NZ
pubs.volume26en_NZ
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