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Parametric and Semiparametric Model-Based Estimates of the Finite Population Mean for Two-Stage Cluster Samples with Item Nonresponse
dc.contributor.authorYuan, Yingen_US
dc.contributor.authorLittle, Roderick J. A.en_US
dc.date.accessioned2010-04-01T14:53:24Z
dc.date.available2010-04-01T14:53:24Z
dc.date.issued2007-12en_US
dc.identifier.citationYuan, Ying; Little, Roderick J. A. (2007). "Parametric and Semiparametric Model-Based Estimates of the Finite Population Mean for Two-Stage Cluster Samples with Item Nonresponse." Biometrics 63(4): 1172-1180. <http://hdl.handle.net/2027.42/65344>en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.issn1541-0420en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/65344
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17489967&dopt=citationen_US
dc.description.abstractThis article concerns item nonresponse adjustment for two-stage cluster samples. Specifically, we focus on two types of nonignorable nonresponse: nonresponse depending on covariates and underlying cluster characteristics, and depending on covariates and the missing outcome. In these circumstances, standard weighting and imputation adjustments are liable to be biased. To obtain consistent estimates, we extend the standard random-effects model by modeling these two types of missing data mechanism. We also propose semiparametric approaches based on fitting a spline on the propensity score, to weaken assumptions about the relationship between the outcome and covariates. These new methods are compared with existing approaches by simulation. The National Health and Nutrition Examination Survey data are used to illustrate these approaches.en_US
dc.format.extent150076 bytes
dc.format.extent3110 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Incen_US
dc.rights2007, The International Biometric Societyen_US
dc.subject.otherCluster-specific Nonignorable Nonresponseen_US
dc.subject.otherItem Nonresponseen_US
dc.subject.otherOutcome-specific Nonignorable Nonresponseen_US
dc.subject.otherPenalized Spline of Propensity Predictionen_US
dc.subject.otherTwo-stage Cluster Sampleen_US
dc.titleParametric and Semiparametric Model-Based Estimates of the Finite Population Mean for Two-Stage Cluster Samples with Item Nonresponseen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, The University of Michigan, Ann Arbor, Michigan 48109, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Biostatistics and Applied Mathematics, M.D. Anderson Cancer Center, Houston, Texas 77030, U.S.A.en_US
dc.identifier.pmid17489967en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/65344/1/j.1541-0420.2007.00816.x.pdf
dc.identifier.doi10.1111/j.1541-0420.2007.00816.xen_US
dc.identifier.sourceBiometricsen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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