Confidence intervals of effect size in randomized comparative parallel-group studies
dc.contributor.author | Wu, Jianrong | en_US |
dc.contributor.author | Jiang, Guoyong | en_US |
dc.contributor.author | Wei, Wei | en_US |
dc.date.accessioned | 2007-09-18T19:25:11Z | |
dc.date.available | 2007-09-18T19:25:11Z | |
dc.date.issued | 2006-02-28 | en_US |
dc.identifier.citation | Wu, 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.issn | 0277-6715 | en_US |
dc.identifier.issn | 1097-0258 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/55816 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=16158411&dopt=citation | en_US |
dc.description.abstract | We 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.extent | 103910 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 | Confidence intervals of effect size in randomized comparative parallel-group studies | 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, University of Michigan, 1420 Washington Heights, Ann Arbor, MI 48109, U.S.A. | en_US |
dc.contributor.affiliationother | Department 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.affiliationother | Department of Biometrics, Cephalon, Inc., West Chester, PA 19380, U.S.A. | en_US |
dc.identifier.pmid | 16158411 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/55816/1/2346_ftp.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1002/sim.2346 | en_US |
dc.identifier.source | Statistics in Medicine | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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