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http://hdl.handle.net/11718/10479| Title: | Analysis of mixed outcomes: misclassified binary responses and measurement error in covariates |
| Authors: | Roy, Surupa Banerjee, Tathagata |
| Issue Date: | 15-Apr-2009 |
| 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. |
| Description: | Journal of Statistical Computation and Simulation, 79, 12 (2009). |
| URI: | http://hdl.handle.net/11718/10479 |
| Appears in Collections: | Journal Articles |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Analysisofmixedoutcomes.pdf Restricted Access | 130.26 kB | Adobe PDF | View/Open Request a copy |
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