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Article: A simple approach to the estimation of incidence rate difference

TitleA simple approach to the estimation of incidence rate difference
Authors
Issue Date2010
PublisherOxford University Press. The Journal's web site is located at http://aje.oxfordjournals.org/
Citation
American Journal Of Epidemiology, 2010, v. 172 n. 3, p. 334-343 How to Cite?
AbstractThe incidence rate difference (IRD) is a parameter of interest in many medical studies. For example, in vaccine studies, it is interpreted as the vaccine-attributable reduction in disease incidence. This is an important parameter, because it shows the public health impact of an intervention. The IRD is difficult to estimate for various reasons, especially when there are quantitative covariates or the duration of follow-up is variable. In this paper, the authors propose an approach based on weighted least-squares regression for estimating the IRD. It is very easy to implement because it boils down to performing ordinary least-squares regression analysis of transformed variables. Furthermore, if the outcome events are repeatable, the authors propose that data on all events be analyzed instead of first events only. Four versions of the Huber-White robust standard error are considered for statistical inference. Simulation studies are used to examine the performance of the proposed method. In a variety of scenarios simulated, the method provides an unbiased estimate for the IRD, and the empirical coverage proportion of the 95% confidence interval is very close to the nominal level. The method is illustrated with data from a vaccine trial carried out in the Gambia in 2001-2004. © 2010 The Author.
Persistent Identifierhttp://hdl.handle.net/10722/172473
ISSN
2015 Impact Factor: 5.036
2015 SCImago Journal Rankings: 3.047
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorXu, Yen_US
dc.contributor.authorCheung, YBen_US
dc.contributor.authorLam, KFen_US
dc.contributor.authorTan, SHen_US
dc.contributor.authorMilligan, Pen_US
dc.date.accessioned2012-10-30T06:22:42Z-
dc.date.available2012-10-30T06:22:42Z-
dc.date.issued2010en_US
dc.identifier.citationAmerican Journal Of Epidemiology, 2010, v. 172 n. 3, p. 334-343en_US
dc.identifier.issn0002-9262en_US
dc.identifier.urihttp://hdl.handle.net/10722/172473-
dc.description.abstractThe incidence rate difference (IRD) is a parameter of interest in many medical studies. For example, in vaccine studies, it is interpreted as the vaccine-attributable reduction in disease incidence. This is an important parameter, because it shows the public health impact of an intervention. The IRD is difficult to estimate for various reasons, especially when there are quantitative covariates or the duration of follow-up is variable. In this paper, the authors propose an approach based on weighted least-squares regression for estimating the IRD. It is very easy to implement because it boils down to performing ordinary least-squares regression analysis of transformed variables. Furthermore, if the outcome events are repeatable, the authors propose that data on all events be analyzed instead of first events only. Four versions of the Huber-White robust standard error are considered for statistical inference. Simulation studies are used to examine the performance of the proposed method. In a variety of scenarios simulated, the method provides an unbiased estimate for the IRD, and the empirical coverage proportion of the 95% confidence interval is very close to the nominal level. The method is illustrated with data from a vaccine trial carried out in the Gambia in 2001-2004. © 2010 The Author.en_US
dc.languageengen_US
dc.publisherOxford University Press. The Journal's web site is located at http://aje.oxfordjournals.org/en_US
dc.relation.ispartofAmerican Journal of Epidemiologyen_US
dc.subject.meshData Interpretation, Statisticalen_US
dc.subject.meshGambia - Epidemiologyen_US
dc.subject.meshHumansen_US
dc.subject.meshIncidenceen_US
dc.subject.meshLeast-Squares Analysisen_US
dc.subject.meshModels, Biologicalen_US
dc.subject.meshVaccination - Statistics & Numerical Dataen_US
dc.titleA simple approach to the estimation of incidence rate differenceen_US
dc.typeArticleen_US
dc.identifier.emailLam, KF: hrntlkf@hkucc.hku.hken_US
dc.identifier.authorityLam, KF=rp00718en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1093/aje/kwq099en_US
dc.identifier.pmid20606039-
dc.identifier.scopuseid_2-s2.0-77955166368en_US
dc.identifier.hkuros178694-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77955166368&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume172en_US
dc.identifier.issue3en_US
dc.identifier.spage334en_US
dc.identifier.epage343en_US
dc.identifier.isiWOS:000280531100012-
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridXu, Y=36106595800en_US
dc.identifier.scopusauthoridCheung, YB=7202111441en_US
dc.identifier.scopusauthoridLam, KF=8948421200en_US
dc.identifier.scopusauthoridTan, SH=35216368200en_US
dc.identifier.scopusauthoridMilligan, P=35398166100en_US
dc.identifier.citeulike7457052-

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