在纵向数据分析中，广义估计方程（GEE）方法被广泛应用．无论相关矩阵是否正确识别，通过 GEE 方法得到的参数估计都是相合的．但是，当选取的工作相关矩阵与真实相关阵相差较大时，所得参数估计的效可能会较低．为了降低工作相关矩阵的选取对于参数估计的效的影响，研究者提出了二次推断函数（QIF）方法和 Hybrid GEE 方法．本文通过数值模拟对 QIF 方法和 Hybrid GEE 方法进行分析比较．

Generalised estimating equations method has been widely applied to longitudinal data analysis. The resulting estimators are consistent whether the true correlation matrix is specified or misspecified. However, when the working correlation matrix is far away from the true one, the efficiency will be low. In order to reduce the influence of the choice of working correlation matrices in terms of efficiency, quadratic inference functions method and hybrid generalised estimating equations method have been proposed. In this paper, several simulation studies are conducted to compare the hybrid generalised estimating equations method with the quadratic inference functions method.