On Bayesian methods of exploring qualitative interactions for targeted treatment
dc.contributor.author | Chen, Wei | en_US |
dc.contributor.author | Ghosh, Debashis | en_US |
dc.contributor.author | Raghunathan, Trivellore E. | en_US |
dc.contributor.author | Norkin, Maxim | en_US |
dc.contributor.author | Sargent, Daniel J. | en_US |
dc.contributor.author | Bepler, Gerold | en_US |
dc.date.accessioned | 2012-12-11T17:37:24Z | |
dc.date.available | 2014-02-03T16:21:44Z | en_US |
dc.date.issued | 2012-12-10 | en_US |
dc.identifier.citation | Chen, Wei; Ghosh, Debashis; Raghunathan, Trivellore E.; Norkin, Maxim; Sargent, Daniel J.; Bepler, Gerold (2012). "On Bayesian methods of exploring qualitative interactions for targeted treatment." Statistics in Medicine 31(28): 3693-3707. <http://hdl.handle.net/2027.42/94482> | en_US |
dc.identifier.issn | 0277-6715 | en_US |
dc.identifier.issn | 1097-0258 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/94482 | |
dc.publisher | John Wiley & Sons, Ltd | en_US |
dc.subject.other | Interaction | en_US |
dc.subject.other | Clinical Trial | en_US |
dc.subject.other | Prognostic Marker | en_US |
dc.subject.other | Predictive Marker | en_US |
dc.subject.other | Subgroup | en_US |
dc.title | On Bayesian methods of exploring qualitative interactions for targeted treatment | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbsecondlevel | Medicine (General) | en_US |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | 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.identifier.pmid | 22733620 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/94482/1/sim5429.pdf | |
dc.identifier.doi | 10.1002/sim.5429 | en_US |
dc.identifier.source | Statistics in Medicine | en_US |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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