Estimation of the proportion of overweight individuals in small areas—a robust extension of the Fay–Herriot model
dc.contributor.author | Xie, Dawei | en_US |
dc.contributor.author | Raghunathan, Trivellore E. | en_US |
dc.contributor.author | Lepkowski, James M. | en_US |
dc.date.accessioned | 2007-09-20T18:44:58Z | |
dc.date.available | 2008-09-08T14:25:12Z | en_US |
dc.date.issued | 2007-06-15 | en_US |
dc.identifier.citation | Xie, Dawei; Raghunathan, Trivellore E.; Lepkowski, James M. (2007)."Estimation of the proportion of overweight individuals in small areas—a robust extension of the Fay–Herriot model." Statistics in Medicine 26(13): 2699-2715. <http://hdl.handle.net/2027.42/56067> | en_US |
dc.identifier.issn | 0277-6715 | en_US |
dc.identifier.issn | 1097-0258 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/56067 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=17016862&dopt=citation | en_US |
dc.description.abstract | Hierarchical model such as Fay–Herriot (FH) model is often used in small area estimation. The method might perform well overall but is vulnerable to outliers. We propose a robust extension of the FH model by assuming the area random effects follow a t distribution with an unknown degrees-of-freedom parameter. The inferences are constructed using a Bayesian framework. Monte Carlo Markov Chain (MCMC) such as Gibbs sampling and Metropolis–Hastings acceptance and rejection algorithms are used to obtain the joint posterior distribution of model parameters. The procedure is used to estimate the county-level proportion of overweight individuals from the 2003 public-use Behavioral Risk Factor Surveillance System (BRFSS) data. We also discuss two approaches for identifying outliers in the context of this application. Copyright © 2006 John Wiley & Sons, Ltd. | en_US |
dc.format.extent | 246065 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | John Wiley & Sons, Ltd. | en_US |
dc.subject.other | Mathematics and Statistics | en_US |
dc.title | Estimation of the proportion of overweight individuals in small areas—a robust extension of the Fay–Herriot model | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Medicine (General) | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Biostatistics and Institute for Social Research, University of Michigan, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Biostatistics and Institute for Social Research, University of Michigan, U.S.A. | en_US |
dc.contributor.affiliationother | Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, 617 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, U.S.A. ; Department of Biostatistics and Epidemiology, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, 617 Blockley Hall, 423 Guardian Drive, Philadelphia, PA 19104, U.S.A. | en_US |
dc.identifier.pmid | 17016862 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/56067/1/2709_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/sim.2709 | en_US |
dc.identifier.source | Statistics in Medicine | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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