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https://doi.org/10.1177/0962280210381176
Title: | Goodness-of-fit tests for correlated paired binary data | Authors: | Tang, M.-L. Pei, Y.-B. Wong, W.-K. Li, J.-L. |
Keywords: | Akaike information criterion bootstrap procedures 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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