File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Non-parametric estimation of the case fatality ratio with competing risks data: An application to Severe Acute Respiratory Syndrome (SARS)

TitleNon-parametric estimation of the case fatality ratio with competing risks data: An application to Severe Acute Respiratory Syndrome (SARS)
Authors
KeywordsReferences (20) View In Table Layout
Issue Date2007
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/
Citation
Statistics In Medicine, 2007, v. 26 n. 9, p. 1982-1998 How to Cite?
AbstractFor diseases with some level of associated mortality, the case fatality ratio measures the proportion of diseased individuals who die from the disease. In principle, it is straightforward to estimate this quantity from individual follow-up data that provides times from onset to death or recovery. In particular, in a competing risks context, the case fatality ratio is defined by the limiting value of the sub-distribution function, F1(t) = Pr(T≤t and J = 1), associated with death, as t → ∞, where T denotes the time from onset to death (J = 1) or recovery (J = 2). When censoring is present, however, estimation of F1(∞) is complicated by the possibility of little information regarding the right tail of F1, requiring use of estimators of F1(t*) or F1 (t*)/(F1(t*) + F2(t*)) where t* is large, with F2(t) = Pr(T≤t and J = 2) being the analogous sub-distribution function associated with recovery. With right censored data, the variability of such estimators increases as t* increases, suggesting the possibility of using estimators at lower values of t* where bias may be increased but overall mean squared error be smaller. These issues are investigated here for non-parametric estimators of F1 and F2. The ideas are illustrated on case fatality data for individuals infected with Severe Acute Respiratory Syndrome (SARS) in Hong Kong in 2003. Copyright © 2006 John Wiley & Sons, Ltd.
Persistent Identifierhttp://hdl.handle.net/10722/92565
ISSN
2015 Impact Factor: 1.533
2015 SCImago Journal Rankings: 1.811
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorJewell, NPen_HK
dc.contributor.authorLei, Xen_HK
dc.contributor.authorGhani, ACen_HK
dc.contributor.authorDonnelly, CAen_HK
dc.contributor.authorLeung, GMen_HK
dc.contributor.authorHo, LMen_HK
dc.contributor.authorCowling, BJen_HK
dc.contributor.authorHedley, AJen_HK
dc.date.accessioned2010-09-17T10:50:16Z-
dc.date.available2010-09-17T10:50:16Z-
dc.date.issued2007en_HK
dc.identifier.citationStatistics In Medicine, 2007, v. 26 n. 9, p. 1982-1998en_HK
dc.identifier.issn0277-6715en_HK
dc.identifier.urihttp://hdl.handle.net/10722/92565-
dc.description.abstractFor diseases with some level of associated mortality, the case fatality ratio measures the proportion of diseased individuals who die from the disease. In principle, it is straightforward to estimate this quantity from individual follow-up data that provides times from onset to death or recovery. In particular, in a competing risks context, the case fatality ratio is defined by the limiting value of the sub-distribution function, F1(t) = Pr(T≤t and J = 1), associated with death, as t → ∞, where T denotes the time from onset to death (J = 1) or recovery (J = 2). When censoring is present, however, estimation of F1(∞) is complicated by the possibility of little information regarding the right tail of F1, requiring use of estimators of F1(t*) or F1 (t*)/(F1(t*) + F2(t*)) where t* is large, with F2(t) = Pr(T≤t and J = 2) being the analogous sub-distribution function associated with recovery. With right censored data, the variability of such estimators increases as t* increases, suggesting the possibility of using estimators at lower values of t* where bias may be increased but overall mean squared error be smaller. These issues are investigated here for non-parametric estimators of F1 and F2. The ideas are illustrated on case fatality data for individuals infected with Severe Acute Respiratory Syndrome (SARS) in Hong Kong in 2003. Copyright © 2006 John Wiley & Sons, Ltd.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/en_HK
dc.relation.ispartofStatistics in Medicineen_HK
dc.subjectReferences (20) View In Table Layouten_HK
dc.subject.meshComputer Simulationen_HK
dc.subject.meshData Interpretation, Statisticalen_HK
dc.subject.meshDisease Outbreaksen_HK
dc.subject.meshHumansen_HK
dc.subject.meshMortalityen_HK
dc.subject.meshSevere Acute Respiratory Syndrome - epidemiology - mortalityen_HK
dc.subject.meshStatistics, Nonparametricen_HK
dc.titleNon-parametric estimation of the case fatality ratio with competing risks data: An application to Severe Acute Respiratory Syndrome (SARS)en_HK
dc.typeArticleen_HK
dc.identifier.emailLeung, GM:gmleung@hku.hken_HK
dc.identifier.emailHo, LM:lmho@hkucc.hku.hken_HK
dc.identifier.emailCowling, BJ:bcowling@hku.hken_HK
dc.identifier.emailHedley, AJ:hrmrajh@hkucc.hku.hken_HK
dc.identifier.authorityLeung, GM=rp00460en_HK
dc.identifier.authorityHo, LM=rp00360en_HK
dc.identifier.authorityCowling, BJ=rp01326en_HK
dc.identifier.authorityHedley, AJ=rp00357en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/sim.2691en_HK
dc.identifier.pmid16981181-
dc.identifier.scopuseid_2-s2.0-34047198124en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-34047198124&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume26en_HK
dc.identifier.issue9en_HK
dc.identifier.spage1982en_HK
dc.identifier.epage1998en_HK
dc.identifier.eissn1097-0258-
dc.identifier.isiWOS:000245479600006-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridJewell, NP=7003984114en_HK
dc.identifier.scopusauthoridLei, X=9336235800en_HK
dc.identifier.scopusauthoridGhani, AC=7006814439en_HK
dc.identifier.scopusauthoridDonnelly, CA=35468127900en_HK
dc.identifier.scopusauthoridLeung, GM=7007159841en_HK
dc.identifier.scopusauthoridHo, LM=7402955625en_HK
dc.identifier.scopusauthoridCowling, BJ=8644765500en_HK
dc.identifier.scopusauthoridHedley, AJ=7102584095en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats