The effect of omitted covariates in marginal and partially conditional recurrent event analyses

dc.contributor.authorZhong, Yujie
dc.contributor.authorCook, Richard J.
dc.date.accessioned2020-02-14T16:40:57Z
dc.date.available2020-02-14T16:40:57Z
dc.date.issued2019-04-01
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.identifier.urihttps://doi.org/10.1007/s10985-018-9430-y
dc.identifier.urihttp://hdl.handle.net/10012/15643
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.peerReviewStatusRevieweden
uws.scholarLevelFacultyen
uws.typeOfResourceTexten

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Cook_Richard.pdf
Size:
549.03 KB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
4.47 KB
Format:
Item-specific license agreed upon to submission
Description: