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| 篇名/題名： | A nonparametric smoothing method for assessing GEE models with binary longitudinal data |
| 摘要： | 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
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 [1]. 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. |
| 類型： | 期刊論文 |
| 西元出版年： | 2011 |
| 著作語言： | en |
| 作者： | Lin, K. C.、Chen, Y.J.、Shyr, Y.
|
| 學校系所： | 企業管理系 |
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