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A comparison of goodness of fit tests for the logistic GEE model by Scott Evans; Lingling Li is a Mathematics article available to read on EtoBox.
What is A comparison of goodness of fit tests for the logistic GEE model about?
## Abstract Generalized estimating equations have become a popular regression method for analysing clustered binary data. Methods to assess the goodness of fit of the fitted models have recently been developed. However, evaluations and comparisons of these methods are limited. We discuss these methods and develop two additional statistics to evaluate goodness of fit. We evaluate the performance of each of the statistics with respect to type I error rates and power in a simulation study. Guidance is provided regarding appropriate use of the statistics under various scenarios. Copyright © 2004 John Wiley & Sons, Ltd.
Who reads A comparison of goodness of fit tests for the logistic GEE model?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Scott Evans; Lingling Li
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0277-6715)
- Published
- 2004
- Language
- EN
- Field
- Mathematics (Physical Sciences)