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Time‐varying effect moderation using the structural nested mean model: estimation using inverse‐weighted regression with residuals
dc.contributor.authorAlmirall, Danielen_US
dc.contributor.authorGriffin, Beth Annen_US
dc.contributor.authorMcCaffrey, Daniel F.en_US
dc.contributor.authorRamchand, Rajeeven_US
dc.contributor.authorYuen, Robert A.en_US
dc.contributor.authorMurphy, Susan A.en_US
dc.date.accessioned2014-08-06T16:49:44Z
dc.date.availableWITHHELD_14_MONTHSen_US
dc.date.available2014-08-06T16:49:44Z
dc.date.issued2014-09-10en_US
dc.identifier.citationAlmirall, Daniel; Griffin, Beth Ann; McCaffrey, Daniel F.; Ramchand, Rajeev; Yuen, Robert A.; Murphy, Susan A. (2014). "Time‐varying effect moderation using the structural nested mean model: estimation using inverse‐weighted regression with residuals." Statistics in Medicine 33(20): 3466-3487.en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/108035
dc.publisherSage Publicationsen_US
dc.publisherWiley Periodicals, Inc.en_US
dc.subject.otherTime‐Varying Confoundingen_US
dc.subject.otherInverse‐Probability‐Of‐Treatment Weightingen_US
dc.subject.otherEffect Modificationen_US
dc.subject.otherTime‐Varying Covariatesen_US
dc.subject.otherTime‐Varying Treatmenten_US
dc.subject.otherTime‐Varying Exposureen_US
dc.titleTime‐varying effect moderation using the structural nested mean model: estimation using inverse‐weighted regression with residualsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMedicine (General)en_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/108035/1/sim5892.pdf
dc.identifier.doi10.1002/sim.5892en_US
dc.identifier.sourceStatistics in Medicineen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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