Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/154900
Full metadata record
DC FieldValueLanguage
dc.contributor.authorZhao, Jianen_US
dc.contributor.authorZhao, Yunen_US
dc.contributor.authorXiang, Limingen_US
dc.contributor.authorKhanal, Vishnuen_US
dc.contributor.authorBinns, Colin Wen_US
dc.contributor.authorLee, Andy H.en_US
dc.date.accessioned2022-01-13T04:32:41Z-
dc.date.available2022-01-13T04:32:41Z-
dc.date.issued2020-
dc.identifier.citationZhao, J., Zhao, Y., Xiang, L., Khanal, V., Binns, C. W. & Lee, A. H. (2020). A two-part mixed-effects model for analyzing clustered time-to-event data with clumping at zero. Support UsContactAdmin Computer Methods and Programs in Biomedicine, 187, 105196-. https://dx.doi.org/10.1016/j.cmpb.2019.105196en_US
dc.identifier.issn0169-2607en_US
dc.identifier.urihttps://hdl.handle.net/10356/154900-
dc.description.abstractIn longitudinal epidemiological studies consisting of a baseline stage and a follow-up stage, observations at the baseline stage may contain a countable proportion of negative responses. The time-to-event outcomes of those observations corresponding to negative responses at baseline can be denoted as zeros, which are excluded from standard survival analysis. Consequently, some important information on these subjects is therefore lost in the analysis. Furthermore, subjects are often clustered within hospitals, communities or health service centers, resulting in correlated observations. The framework of the two-part model has been developed and utilized widely to analyze semi-continuous data or count data with excess zeros, but its application to clustered time-to-event data with clumping at zero remains sparse.en_US
dc.language.isoenen_US
dc.relation.ispartofSupport UsContactAdmin Computer Methods and Programs in Biomedicineen_US
dc.rights© 2019 Elsevier B.V. All rights reserveden_US
dc.subjectScience::Biological sciencesen_US
dc.titleA two-part mixed-effects model for analyzing clustered time-to-event data with clumping at zeroen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.identifier.doi10.1016/j.cmpb.2019.105196-
dc.identifier.pmid31786451-
dc.identifier.scopus2-s2.0-85075592764-
dc.identifier.volume187en_US
dc.identifier.spage105196en_US
dc.subject.keywordsClumping at Zeroen_US
dc.subject.keywordsFrailty Modelen_US
dc.description.acknowledgementThis study was partially supported by China Scholarship Council (Grant NO: 201406240008).en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:SPMS Journal Articles

SCOPUSTM   
Citations 50

3
Updated on Feb 1, 2023

Web of ScienceTM
Citations 50

3
Updated on Jan 31, 2023

Page view(s)

38
Updated on Feb 2, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.