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The analysis of group truncated binary data with random effects: injury severity in motor vehicle accidents

Barry, Simon C; O'Neill, Terence

Description

The analysis of group truncated binary data has been previously considered by O'Neill and Barry (1995b, Biometrics 51, 533-541), where the analysis assumed that responses within each group were independent. In this paper, we consider the analysis of such

dc.contributor.authorBarry, Simon C
dc.contributor.authorO'Neill, Terence
dc.date.accessioned2015-12-13T23:21:37Z
dc.identifier.issn0006-341X
dc.identifier.urihttp://hdl.handle.net/1885/91089
dc.description.abstractThe analysis of group truncated binary data has been previously considered by O'Neill and Barry (1995b, Biometrics 51, 533-541), where the analysis assumed that responses within each group were independent. In this paper, we consider the analysis of such
dc.publisherInternational Biometrics Society
dc.sourceBiometrics
dc.subjectKeywords: article; injury scale; maximum likelihood method; model; traffic accident; Accidents, Traffic; Australia; Automobiles; Biometry; Humans; Likelihood Functions; Models, Statistical; Regression Analysis; Severity of Illness Index; Wounds and Injuries Group truncation; Road safety; Truncated regression; Truncation
dc.titleThe analysis of group truncated binary data with random effects: injury severity in motor vehicle accidents
dc.typeJournal article
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.citationvolume56
dc.date.issued2000
local.identifier.absfor010401 - Applied Statistics
local.identifier.ariespublicationMigratedxPub21724
local.type.statusPublished Version
local.contributor.affiliationBarry, Simon C, College of Business and Economics, ANU
local.contributor.affiliationO'Neill, Terence, College of Business and Economics, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage443
local.bibliographicCitation.lastpage450
dc.date.updated2015-12-12T09:08:02Z
local.identifier.scopusID2-s2.0-0033917086
CollectionsANU Research Publications

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