Reviewing of Different Methods for Handling Longitudinal Count data


Amany. M, Mousa, Ahmed. A, El sheikh, Fatma El Zahraa S.Salama
Faculty of Graduate Studies for Statistical Research, Cairo University, Cairo, Egypt, India.
Ahmed M. Gad
Faculty of Economics and Political Science, Cairo University, Cairo, Egypt, India.


In this paper, we will review the methods that used to handle longitudinal data in the case of marginal models when inferences about the population average are the primary focus [1] or when future applications of the results require the expectation of the response as a function of the current covariates [7]. We will review the generalized estimating equations method (GEE), quadratic inference functions (QIF), generalized quasi likelihood (GQL) and the generalized method of moments (GMM). These methods will be reviewed by discussing its advantages and disadvantages in more details.