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Estimation of a single probit line from multiple toxicity test data

dc.contributor.authorHong, Wuk-Heeen_US
dc.contributor.authorMeier, Peter G.en_US
dc.contributor.authorDeininger, Rolf A.en_US
dc.date.accessioned2006-04-07T20:22:33Z
dc.date.available2006-04-07T20:22:33Z
dc.date.issued1988-03en_US
dc.identifier.citationHong, Wuk-Hee, Meier, Peter G., Deininger, Rolf A. (1988/03)."Estimation of a single probit line from multiple toxicity test data." Aquatic Toxicology 12(3): 193-202. <http://hdl.handle.net/2027.42/27381>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6T4G-474YC28-3C/2/69a62a5a6d5c65c2542b9473ee659f1cen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27381
dc.description.abstractLC50 values for the same compound and the same species may vary considerably within a laboratory and between laboratories. These differences are usually attributed to variable test conditions and response of the test organisms to the toxicant. Furthermore, the lack of standardization for aquatic toxicity testing may contribute to the variability in LC50 values.To employ toxicity data for regulatory purposes, it may be useful to report one single LC50 value and its associated confidence interval, instead of several LC50 values for each test substance. To accomplish this, a procedure for combining probit lines from several toxicity tests was developed by modifying the maximum likelihood probit method with inclusion of the technique for parallel line probit analysis. The resulting single probit line from this method is referred to as a "grand probit line' and takes into account separate test results. To ease the calculation a BASIC program was developed for an IBM PC.en_US
dc.format.extent401917 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleEstimation of a single probit line from multiple toxicity test dataen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelNatural Resources and Environmenten_US
dc.subject.hlbsecondlevelEcology and Evolutionary Biologyen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDept. of Environmental and Industrial Health, School of Public Health, University of Michigan, Ann Arbor, Michigan, U.S.A.en_US
dc.contributor.affiliationumDept. of Environmental and Industrial Health, School of Public Health, University of Michigan, Ann Arbor, Michigan, U.S.A.en_US
dc.contributor.affiliationumDept. of Environmental and Industrial Health, School of Public Health, University of Michigan, Ann Arbor, Michigan, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27381/1/0000411.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0166-445X(88)90022-7en_US
dc.identifier.sourceAquatic Toxicologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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