TheRPackagegeepackfor Generalized Estimating Equations
نویسندگان
چکیده
منابع مشابه
Generalized Estimating Equations
It is a privilege to be able to peruse the fine article by Ziegler and Vens [1], as well as the contributions made by nine discussants [2]. Over the last 25 years, generalized estimating equations (GEE) have seen an ever further spreading use. Nonetheless, it is a technique confronted with confusion and, at times, misunderstanding. The user must carefully read the technique’s manual. Let us hig...
متن کاملA Generalized Estimating Equations
When inferences focus on population averages, one can directly model all of the marginal expectations E(Yij) = μij in terms of covariates of interest. This is typically done via h(μij) = x ′ ijβ, with h(·) some known link function, such as the logit link for binary responses. The marginal variance depends on the marginal mean according to Var(Yij) = v(μij)φ, where v(·) is a known variance funct...
متن کاملGeneralized Bootstrap for Estimating Equations
We introduce a generalized bootstrap technique for estimators obtained by solving estimating equations. Some special cases of this generalized bootstrap are the classical bootstrap of Efron, the deleted jackknife and variations of the Bayesian bootstrap. The use of the proposed technique is discussed in some examples. Distributional consistency of the method is established and an asymptotic rep...
متن کاملGeneralized Estimating Equations for Vector Regression
Generalized estimating equations (GEE; Liang & Zeger, 1986) are extended to general vector regression settings. When the response vectors are of mixed type (e.g. continuous–binary response pairs), the proposed method is a semiparametric alternative to full-likelihood copula methods. When the response vectors are of the same type (e.g. physical measurements on left and right eyes), the proposed ...
متن کاملAkaike's information criterion in generalized estimating equations.
Correlated response data are common in biomedical studies. Regression analysis based on the generalized estimating equations (GEE) is an increasingly important method for such data. However, there seem to be few model-selection criteria available in GEE. The well-known Akaike Information Criterion (AIC) cannot be directly applied since AIC is based on maximum likelihood estimation while GEE is ...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2006
ISSN: 1548-7660
DOI: 10.18637/jss.v015.i02