| dc.contributor.author | Roy, Surupa | |
| dc.contributor.author | Banerjee, Tathagata | |
| dc.date.accessioned | 2011-05-04T05:16:41Z | |
| dc.date.available | 2011-05-04T05:16:41Z | |
| dc.date.copyright | 2009-04-15 | |
| dc.date.issued | 2009-04-15T05:16:41Z | |
| dc.identifier.uri | http://hdl.handle.net/11718/10479 | |
| dc.description | Journal of Statistical Computation and Simulation, 79, 12 (2009). | en |
| dc.description.abstract | This 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.iso | en | en |
| dc.title | Analysis of mixed outcomes: misclassified binary responses and measurement error in covariates | en |
| dc.type | Article | en |
