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Please use this identifier to cite or link to this item: 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.
Issue Date: 2004
Citation: 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.
URI: http://hdl.handle.net/1942/7686
Link to publication: 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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