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Two-Stage Design of Quanta1 Response Studies

dc.contributor.authorSitter, R. R.en_US
dc.contributor.authorWu, C. F. J.en_US
dc.date.accessioned2010-04-01T14:43:48Z
dc.date.available2010-04-01T14:43:48Z
dc.date.issued1999-06en_US
dc.identifier.citationSitter, R. R.; Wu, C. F. J. (1999). "Two-Stage Design of Quanta1 Response Studies." Biometrics 55(2): 396-402. <http://hdl.handle.net/2027.42/65175>en_US
dc.identifier.issn0006-341Xen_US
dc.identifier.issn1541-0420en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/65175
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=11318192&dopt=citationen_US
dc.description.abstractIn a quantal response study, there may be insufficient knowledge of the response relationship for the stimulus (or dose) levels to be chosen properly. Information from such a study can be scanty or even unreliable. A two-stage design is proposed for such studies, which can determine whether and how a follow-up (i.e., second-stage) study should be conducted to select additional stimulus levels to compensate for the scarcity of information in the initial study. These levels are determined by using optimal design theory and are based on the fitted model from the data in the initial study. Its advantages are demonstrated using a fishery study.en_US
dc.format.extent772317 bytes
dc.format.extent3110 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.publisherBlackwell Publishing Ltden_US
dc.rightsThe International Biometric society, 1999en_US
dc.subject.otherBinary Dataen_US
dc.subject.otherC -Optimalityen_US
dc.subject.otherD -Optimalityen_US
dc.subject.otherF -Optimalityen_US
dc.subject.otherLogiten_US
dc.subject.otherPhase II Trialsen_US
dc.subject.otherProbiten_US
dc.titleTwo-Stage Design of Quanta1 Response Studiesen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Statistics, University of Michigan, Ann Arbor, Michigan 48109-1027, U.S.A.en_US
dc.contributor.affiliationotherDepartment of Mathematics and Statistics, Simon Fraser University, Burnaby, British Columbia V5A 1S6, Canada email: sitter@cs.sfu.caen_US
dc.identifier.pmid11318192en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/65175/1/j.0006-341X.1999.00396.x.pdf
dc.identifier.doi10.1111/j.0006-341X.1999.00396.xen_US
dc.identifier.sourceBiometricsen_US
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dc.identifier.citedreferenceSitter, R. R. and Wu, C. F. J. ( 1998 ). Two-stage design of quantal response studies. Research Report 98–1, Department of Mathematics and Statistics, Simon Fraser University, Burnaby, British Columbia, Canada.en_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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