Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/10479
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRoy, Surupa
dc.contributor.authorBanerjee, Tathagata
dc.date.accessioned2011-05-04T05:16:41Z
dc.date.available2011-05-04T05:16:41Z
dc.date.copyright2009-04-15
dc.date.issued2009-04-15T05:16:41Z
dc.identifier.urihttp://hdl.handle.net/11718/10479
dc.descriptionJournal of Statistical Computation and Simulation, 79, 12 (2009).en
dc.description.abstractThis paper considers regression models for mixed binary and continuous outcomes, when the true predictor is measured with error and the binary responses are subject to classification errors. The focus of the paper is to study the effects of these errors on the estimates of the model parameters and also to propose a model that incorporates both these errors. The proposed model results in a substantial improvement in the estimates as shown by extensive simulation studies.
dc.language.isoenen
dc.titleAnalysis of mixed outcomes: misclassified binary responses and measurement error in covariatesen
dc.typeArticleen
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
Analysisofmixedoutcomes.pdf
  Restricted Access
130.26 kBAdobe PDFView/Open Request a copy


Items in IIMA Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated.