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|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.|
|Link to publication: ||http://www.ajol.info/viewarticle.php?jid=96&id=22915&layout=abstract|
|Type: ||Journal Contribution|
|Appears in Collections: ||Research publications|
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