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  • Title: A nonparametric smoothing method for assessing GEE models with longitudinal binary data.
    Author: Lin KC, Chen YJ, Shyr Y.
    Journal: Stat Med; 2008 Sep 30; 27(22):4428-39. PubMed ID: 18613210.
    Abstract:
    Studies involving longitudinal binary responses are widely applied in the health and biomedical sciences research and frequently analyzed by generalized estimating equations (GEE) method. This article proposes an alternative goodness-of-fit test based on the nonparametric smoothing approach for assessing the adequacy of GEE fitted models, which can be regarded as an extension of the goodness-of-fit test of le Cessie and van Houwelingen (Biometrics 1991; 47:1267-1282). The expectation and approximate variance of the proposed test statistic are derived. The asymptotic distribution of the proposed test statistic in terms of a scaled chi-squared distribution and the power performance of the proposed test are discussed by simulation studies. The testing procedure is demonstrated by two real data.
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