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dc.contributor.authorZhong, Yujie
dc.contributor.authorCook, Richard J.
dc.date.accessioned2020-02-14 16:40:57 (GMT)
dc.date.available2020-02-14 16:40:57 (GMT)
dc.date.issued2019-04-01
dc.identifier.urihttps://doi.org/10.1007/s10985-018-9430-y
dc.identifier.urihttp://hdl.handle.net/10012/15643
dc.descriptionThis is the peer reviewed version of the following article: Yujie Zhong and Richard J. Cook, The effect of omitted covariates in marginal and partially conditional recurrent event analyses. Lifetime Data Analysis (2019), 25(2): 280-300 which has been published in final form at https://doi.org/10.1007/s10985-018-9430-y.en
dc.description.abstractThere have been many advances in statistical methodology for the analysis of recurrent event data in recent years. Multiplicative semiparametric rate-based models are widely used in clinical trials, as are more general partially conditional rate-based models involving event-based stratification. The partially conditional model provides protection against extra-Poisson variation as well as event-dependent censoring, but conditioning on outcomes post-randomization can induce confounding and compromise causal inference. The purpose of this article is to examine the consequences of model misspecification in semiparametric marginal and partially conditional rate-based analysis through omission of prognostic variables. We do so using estimating function theory and empirical studies.en
dc.description.sponsorshipThis research was financially supported by grants from the UK Medical Research Council [Unit programme no. MC UU 00002/2], the Natural Sciences and Engineering Research Council of Canada (RGPIN 04207) and the Canadian Institutes for Health Research (FRN 13887). R.J. Cook is a Canada Research Chair in Statistical Methods for Health Research. The authors thank Jiahua Che for helpful discussions.en
dc.language.isoenen
dc.publisherSpringeren
dc.subjectasymptotic biasen
dc.subjectconfoundingen
dc.subjectmarginalen
dc.subjectpartially conditionalen
dc.subjectrate functionen
dc.subjectrecurrent eventsen
dc.titleThe effect of omitted covariates in marginal and partially conditional recurrent event analysesen
dc.typeArticleen
dcterms.bibliographicCitationZhong, Y. & Cook, R.J. Lifetime Data Anal (2019) 25: 280. https://doi.org/10.1007/s10985-018-9430-yen
uws.contributor.affiliation1Faculty of Mathematicsen
uws.contributor.affiliation2Statistics and Actuarial Scienceen
uws.typeOfResourceTexten
uws.peerReviewStatusRevieweden
uws.scholarLevelFacultyen


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