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dc.contributor.authorHinde, John
dc.date.accessioned2013-01-14T12:48:56Z
dc.date.available2013-01-14T12:48:56Z
dc.date.issued2011
dc.identifier.citationMariana Ragassi Urbano, John Hinde and Clarice Garcia Borges Demétrio (2011) Bioassays with natural mortality: handling overdispersion using random effects ISI 2011en_US
dc.identifier.urihttp://hdl.handle.net/10379/3127
dc.description.abstractIn fitting dose-response models to entomological data it is often necessary to take account of natural mortality and/or overdispersion. The standard approach to handle natural mortality is to use Abbott's formula (Abbott, 1925), which allows for a constant underlying mortality rate. Standard overdispersion models include beta-binomial models, logistic-normal, and discrete mixtures. We extend the standard model (Morgan, 1992), and include a random effect in the dose levels, using the approach described in Aitkin et al. (2009). We consider the application of this model to data from an experiment on the use of a virus (PhopGV) for the biological control of worm larvae (Phthorimaea operculella) in potatoes, using a procedure implemented in software R. Using the model with random effects in the dose levels, we obtained a better fit than that provided by the standard model.en_US
dc.formatapplication/pdfen_US
dc.language.isoenen_US
dc.relation.ispartofISI 2011en
dc.subjectBioassaysen_US
dc.titleBioassays with natural mortality: handling overdispersion using random effectsen_US
dc.typeConference Paperen_US
dc.date.updated2013-01-11T16:27:56Z
dc.description.peer-reviewednon-peer-reviewed
dc.contributor.funder|~|
dc.internal.rssid1318007
dc.local.contactJohn Philip Hinde, Mathematics, Áras De Brún, Nui Galway. 2043 Email: john.hinde@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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