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Modelling menstrual cycle length and variability at the approach of menopause by using hierarchical change point models
dc.contributor.authorHuang, Xiaobien_US
dc.contributor.authorElliott, Michael R.en_US
dc.contributor.authorHarlow, Siobán D.en_US
dc.date.accessioned2014-05-21T18:02:44Z
dc.date.availableWITHHELD_13_MONTHSen_US
dc.date.available2014-05-21T18:02:44Z
dc.date.issued2014-04en_US
dc.identifier.citationHuang, Xiaobi; Elliott, Michael R.; Harlow, Siobán D. (2014). "Modelling menstrual cycle length and variability at the approach of menopause by using hierarchical change point models." Journal of the Royal Statistical Society: Series C (Applied Statistics) 63(3): 445-466.en_US
dc.identifier.issn0035-9254en_US
dc.identifier.issn1467-9876en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/106687
dc.publisherOxford University Pressen_US
dc.publisherWiley Periodicals, Inc.en_US
dc.subject.otherTreloar Minnesota Dataen_US
dc.subject.otherMultiple Imputationen_US
dc.subject.otherFinal Menstrual Perioden_US
dc.subject.otherChange Point Modelen_US
dc.titleModelling menstrual cycle length and variability at the approach of menopause by using hierarchical change point modelsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/106687/1/rssc12044.pdf
dc.identifier.doi10.1111/rssc.12044en_US
dc.identifier.sourceJournal of the Royal Statistical Society: Series C (Applied Statistics)en_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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