【摘 要】
：
The defining feature of longitudinal data set is repeated measurements on indi viduals through time which enables the direct study of change.The analysis of
【机 构】
：
UniversityofTehran
【出 处】
：
IMS-China International Conference on Statistics and Probabi
论文部分内容阅读
The defining feature of longitudinal data set is repeated measurements on indi viduals through time which enables the direct study of change.The analysis of lon gitudinal data has been widely used in behavioral and biomedical scionces.In recent years, the generalized estimating equation (GEE) approach is becoming more and more popular in handling correlated response data.However, with time-dependent covariates, inappropriate working correlation structure may leads to inefficient or bi ased estimates.It would be desirable to identify, the appropriate correlation structure for the data.In this talk we introduce a generalized Akaikes Information Criterion (GAIC) from the data resampling point of view.We apply the GAIC to select the working correlation structures under the GEE approach and analyze real data sets with normal responses.
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