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dc.contributor.authorWu, Jianrongen_US
dc.contributor.authorJiang, Guoyongen_US
dc.contributor.authorWei, Weien_US
dc.date.accessioned2007-09-18T19:25:11Z
dc.date.available2007-09-18T19:25:11Z
dc.date.issued2006-02-28en_US
dc.identifier.citationWu, Jianrong; Jiang, Guoyong; Wei, Wei (2006)."Confidence intervals of effect size in randomized comparative parallel-group studies." Statistics in Medicine 25(4): 639-651. <http://hdl.handle.net/2027.42/55816>en_US
dc.identifier.issn0277-6715en_US
dc.identifier.issn1097-0258en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/55816
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=16158411&dopt=citationen_US
dc.description.abstractWe have presented a new likelihood-based approach for constructing confidence intervals of effect size that are applicable to small samples. We also conduct a simulation study to compare the coverage probability of the new likelihood-based method with other three methods proposed by Hedges and Olkin and Kraemer and Paik. Simulation studies show that the confidence interval generated by the modified signed log-likelihood ratio method possesses essentially exact coverage probabilities even for small samples, although the coverage probabilities are consistently but slightly less than the nominal level. The methods are also applied to two examples. Copyright © 2005 John Wiley & Sons, Ltd.en_US
dc.format.extent103910 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherJohn Wiley & Sons, Ltd.en_US
dc.subject.otherMathematics and Statisticsen_US
dc.titleConfidence intervals of effect size in randomized comparative parallel-group studiesen_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.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, MI 48109, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Biostatistics, St. Jude Children's Research Hospital, 332 North Lauderdale St. Memphis, TN 38105, U.S.A. ; Department of Biostatistics, St. Jude Children's Research Hospital, 332 North Lauderdale St. Memphis, TN 38105, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Biometrics, Cephalon, Inc., West Chester, PA 19380, U.S.A.en_US
dc.identifier.pmid16158411en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/55816/1/2346_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/sim.2346en_US
dc.identifier.sourceStatistics in Medicineen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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