Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/6106
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Title: | Binary models with misclassification in the variable of interest and nonignorable missing data |
Authors: | Ramalho, Esmeralda |
Issue Date: | 2007 |
Publisher: | Elsevier |
Abstract: | In this paper we propose a general framework to deal with datasets where a binary outcome is subject to
misclassification and, for some sampling units, neither the error-prone variable of interest nor the covariates are
recorded. A model to describe the observed data is formalized and efficient likelihood-based generalized method of
moments estimators are suggested. |
URI: | http://hdl.handle.net/10174/6106 |
Type: | article |
Appears in Collections: | CEFAGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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