Bayesian methods to compare dose levels with placebo in a small n, sequential, multiple assignment, randomized trial
dc.contributor.author | Fang, Fang | |
dc.contributor.author | Hochstedler, Kimberly A. | |
dc.contributor.author | Tamura, Roy N. | |
dc.contributor.author | Braun, Thomas M. | |
dc.contributor.author | Kidwell, Kelley M. | |
dc.date.accessioned | 2021-02-04T21:53:16Z | |
dc.date.available | 2022-03-04 16:53:15 | en |
dc.date.available | 2021-02-04T21:53:16Z | |
dc.date.issued | 2021-02-20 | |
dc.identifier.citation | Fang, Fang; Hochstedler, Kimberly A.; Tamura, Roy N.; Braun, Thomas M.; Kidwell, Kelley M. (2021). "Bayesian methods to compare dose levels with placebo in a small n, sequential, multiple assignment, randomized trial." Statistics in Medicine 40(4): 963-977. | |
dc.identifier.issn | 0277-6715 | |
dc.identifier.issn | 1097-0258 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/166252 | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | adaptive randomization | |
dc.subject.other | repeated measures | |
dc.subject.other | clinical trial | |
dc.title | Bayesian methods to compare dose levels with placebo in a small n, sequential, multiple assignment, randomized trial | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Public Health | |
dc.subject.hlbsecondlevel | Medicine (General) | |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.subject.hlbtoplevel | Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/166252/1/sim8813.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/166252/2/sim8813_am.pdf | |
dc.identifier.doi | 10.1002/sim.8813 | |
dc.identifier.doi | https://dx.doi.org/10.7302/175 | |
dc.identifier.source | Statistics in Medicine | |
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dc.working.doi | 10.7302/175 | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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