Department of Biostatistics, UM School of Public Health, University of Michigan, 1420 Washington Heights, Ann Arbor, MI 48109-2029, USA.
Stat Med. 2009 Dec 20;28(29):3683-96. doi: 10.1002/sim.3719.
The quadratic inference function (QIF) is a new statistical methodology developed for the estimation and inference in longitudinal data analysis using marginal models. This method is an alternative to the popular generalized estimating equations approach, and it has several useful properties such as robustness, a goodness-of-fit test and model selection. This paper presents an introductory review of the QIF, with a strong emphasis on its applications. In particular, a recently developed SAS MACRO QIF is illustrated in this paper to obtain numerical results.
二次推理函数(QIF)是一种新的统计方法,用于使用边缘模型进行纵向数据分析中的估计和推理。这种方法是流行的广义估计方程方法的替代方法,具有稳健性、拟合优度检验和模型选择等几个有用的特性。本文对 QIF 进行了介绍性综述,重点介绍了其应用。特别是,本文介绍了最近开发的 SAS MACRO QIF 以获得数值结果。