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http://hdl.handle.net/1942/7686
Title: | A comparative study of models for correlated binary data with applications to health services research | Authors: | Dilba, G. AERTS, Marc |
Issue Date: | 2004 | Source: | SINET: Ethiopian journal of science, 27(2). p. 97-104 | Abstract: | Various methods of modeling correlated binary data are compared as applied to data from health services research. The methods include the standard logistic regression, a simple adjustment of the standard errors of logistic regression by a single inflator, the weighted logistic regression, the generalized estimating equation, the beta-binomial model, and two proposed bootstrap methods. First, these approaches are compared for a fixed set of predictors by individual tests of significance. Next, several subsets of predictors are compared through the AIC criterion, whenever applicable. | Document URI: | http://hdl.handle.net/1942/7686 | Link to publication/dataset: | http://www.ajol.info/viewarticle.php?jid=96&id=22915&layout=abstract | Category: | A3 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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