학술논문
Quadratic inference functions in marginal models for longitudinal data.
Document Type
Article
Source
Subject
Language
ISSN
0277-6715
Abstract
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. Copyright © 2009 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]