| Literature DB >> 15580592 |
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.Entities:
Mesh:
Year: 2005 PMID: 15580592 DOI: 10.1002/sim.2023
Source DB: PubMed Journal: Stat Med ISSN: 0277-6715 Impact factor: 2.373