A nonparametric smoothing method for assessing GEE models with longitudinal binary data.

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.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Lin KC,Chen YJ,Shyr Y

doi

10.1002/sim.3315

subject

Has Abstract

pub_date

2008-09-30 00:00:00

pages

4428-39

issue

22

eissn

0277-6715

issn

1097-0258

journal_volume

27

pub_type

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