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|Title:||Goodness-of-fit tests for correlated paired binary data||Authors:||Tang, M.-L.
|Keywords:||Akaike information criterion
correlated binary data
model selection techniques
Rosner's and Dallal's models
|Issue Date:||Aug-2012||Citation:||Tang, M.-L., Pei, Y.-B., Wong, W.-K., Li, J.-L. (2012-08). Goodness-of-fit tests for correlated paired binary data. Statistical Methods in Medical Research 21 (4) : 331-345. ScholarBank@NUS Repository. https://doi.org/10.1177/0962280210381176||Abstract:||We review a few popular statistical models for correlated binary outcomes, present maximum likelihood estimates for the model parameters, and discuss model selection issues using a variety of goodness-of-fit test statistics. We apply bootstrap strategies that are computationally efficient to evaluate the performance of goodness-of-fit statistics and observe that generally the power and the type I error rate of the goodness-of-fit statistics depend on the model under investigation. Our simulation results show that careful choice of goodness-of-fit statistics is an important issue especially when we have a small sample and the outcomes are highly correlated. Two biomedical applications are included. © The Author(s) 2010 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.||Source Title:||Statistical Methods in Medical Research||URI:||http://scholarbank.nus.edu.sg/handle/10635/105164||ISSN:||09622802||DOI:||10.1177/0962280210381176|
|Appears in Collections:||Staff Publications|
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