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Article: Estimation and Interpretation of Incidence Rate Difference for Recurrent Events When the Estimation Model is Misspecified

TitleEstimation and Interpretation of Incidence Rate Difference for Recurrent Events When the Estimation Model is Misspecified
Authors
KeywordsAdditive rate model
Incidence rate difference
Multiplicative rate model
Recurrent events
Time-varying covariate effects
Issue Date2012
PublisherWiley - V C H Verlag GmbH & Co KGaA. The Journal's web site is located at http://www.interscience.wiley.com/biometricaljournal
Citation
Biometrical Journal, 2012, v. 54 n. 6, p. 750-765 How to Cite?
AbstractRecurrent events data are common in experimental and observational studies. It is often of interest to estimate the effect of an intervention on the incidence rate of the recurrent events. The incidence rate difference is a useful measure of intervention effect. A weighted least squares estimator of the incidence rate difference for recurrent events was recently proposed for an additive rate model in which both the baseline incidence rate and the covariate effects were constant over time. In this article, we relax this model assumption and examine the properties of the estimator under the additive and multiplicative rate models assumption in which the baseline incidence rate and covariate effects may vary over time. We show analytically and numerically that the estimator gives an appropriate summary measure of the time-varying covariate effects. In particular, when the underlying covariate effects are additive and time-varying, the estimator consistently estimates the weighted average of the covariate effects over time. When the underlying covariate effects are multiplicative and time-varying, and if there is only one binary covariate indicating the intervention status, the estimator consistently estimates the weighted average of the underlying incidence rate difference between the intervention and control groups over time. We illustrate the method with data from a randomized vaccine trial.
Persistent Identifierhttp://hdl.handle.net/10722/184332
ISSN
2015 Impact Factor: 0.683
2015 SCImago Journal Rankings: 0.784
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorXu, Y-
dc.contributor.authorCheung, YB-
dc.contributor.authorLam, KF-
dc.contributor.authorMilligan, P-
dc.date.accessioned2013-07-12T02:55:07Z-
dc.date.available2013-07-12T02:55:07Z-
dc.date.issued2012-
dc.identifier.citationBiometrical Journal, 2012, v. 54 n. 6, p. 750-765-
dc.identifier.issn0323-3847-
dc.identifier.urihttp://hdl.handle.net/10722/184332-
dc.description.abstractRecurrent events data are common in experimental and observational studies. It is often of interest to estimate the effect of an intervention on the incidence rate of the recurrent events. The incidence rate difference is a useful measure of intervention effect. A weighted least squares estimator of the incidence rate difference for recurrent events was recently proposed for an additive rate model in which both the baseline incidence rate and the covariate effects were constant over time. In this article, we relax this model assumption and examine the properties of the estimator under the additive and multiplicative rate models assumption in which the baseline incidence rate and covariate effects may vary over time. We show analytically and numerically that the estimator gives an appropriate summary measure of the time-varying covariate effects. In particular, when the underlying covariate effects are additive and time-varying, the estimator consistently estimates the weighted average of the covariate effects over time. When the underlying covariate effects are multiplicative and time-varying, and if there is only one binary covariate indicating the intervention status, the estimator consistently estimates the weighted average of the underlying incidence rate difference between the intervention and control groups over time. We illustrate the method with data from a randomized vaccine trial.-
dc.languageeng-
dc.publisherWiley - V C H Verlag GmbH & Co KGaA. The Journal's web site is located at http://www.interscience.wiley.com/biometricaljournal-
dc.relation.ispartofBiometrical Journal-
dc.subjectAdditive rate model-
dc.subjectIncidence rate difference-
dc.subjectMultiplicative rate model-
dc.subjectRecurrent events-
dc.subjectTime-varying covariate effects-
dc.titleEstimation and Interpretation of Incidence Rate Difference for Recurrent Events When the Estimation Model is Misspecifieden_US
dc.typeArticleen_US
dc.identifier.emailLam, KF: hrntlkf@hkucc.hku.hk-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/bimj.201100154-
dc.identifier.pmid22886621-
dc.identifier.scopuseid_2-s2.0-84867929558-
dc.identifier.hkuros215440-
dc.identifier.volume54-
dc.identifier.issue6-
dc.identifier.spage750-
dc.identifier.epage765-
dc.identifier.isiWOS:000310476900002-
dc.publisher.placeGermany-

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