PROMOTING ACCESS TO AFRICAN RESEARCH

SINET: Ethiopian Journal of Science

The AJOL site is currently undergoing a major upgrade, and there will temporarily be some restrictions to the available functionality.
-- Users will not be able to register or log in during this period.
-- Full text (PDF) downloads of Open Access journal articles will be available as always.
-- Full text (PDF) downloads of subscription based journal articles will NOT be available
We apologise for any inconvenience caused. Please check back soon, as we will revert to usual policy as soon as possible.





A comparative study of models for correlated binary data with applications to health services research

Gemechis Dilba, Marc Aerts

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.

Key words/phrases: Beta-binomial, bootstrap, correlated binary data, model selection, overdispersion

SINET: Ethiopian Journal of Science Vol. 27 (2) 2004: 97–104



AJOL African Journals Online