Dose-Response Modeling For Continuous Responses When Variance Is Not A Power Of The Mean

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dc.contributor.advisorSinha, Bimal K
dc.contributor.authorFrazier, Evelyn Rochelle
dc.contributor.departmentMathematics and Statistics
dc.contributor.programStatistics
dc.date.accessioned2015-10-14T03:11:26Z
dc.date.available2015-10-14T03:11:26Z
dc.date.issued2011-01-01
dc.description.abstractIn the context of modeling dose-response data for continuous outcomes, a common procedure is to summarize the data based on sample means and sample variances, and fit a suitable model for the means, ?(d)
dc.formatapplication/pdf
dc.genretheses
dc.identifierdoi:10.13016/M25D6M
dc.identifier.other10455
dc.identifier.urihttp://hdl.handle.net/11603/1003
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Mathematics and Statistics Department Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please see http://aok.lib.umbc.edu/specoll/repro.php or contact Special Collections at speccoll(at)umbc.edu.
dc.sourceOriginal File Name: Frazier_umbc_0434M_10455.pdf
dc.subjectbenchmark dose (BMD
dc.subject, dose-response model
dc.subjectmaximum likelihood estimate
dc.subjectprofile likelihood
dc.titleDose-Response Modeling For Continuous Responses When Variance Is Not A Power Of The Mean
dc.typeText
dcterms.accessRightsAccess limited to the UMBC community. Item may possibly be obtained via Interlibrary Loan through a local library, pending author/copyright holder's permission.

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