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dc.contributor.authorChakraborty, Surupa
dc.contributor.authorBanerjee, Tathagata
dc.date.accessioned2012-09-06T10:49:29Z
dc.date.available2012-09-06T10:49:29Z
dc.date.copyright2010
dc.date.issued2012-09-06T10:49:29Z
dc.identifier.urihttp://hdl.handle.net/11718/10948
dc.descriptionChakraborty,Surupa and Banerjee,Tathagata,"Analysis of Mixed Outcomes: misclassified Binary Responses and Mesaurement Error in Covarities,"journal of Statistical Computation and Simulation,80,11(2010),1197-1209.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 mesaurement error in covaritiesen
dc.typeArticleen


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