MQIC.gee: MQIC and MQICu for GEE
In wgeesel: Weighted Generalized Estimating Equations and Model Selection

Description Usage Arguments Value Author(s) References See Also Examples

Calculate MQIC (Modified QIC) and MQICu. MQIC is an asymptotic unbiased estimator of the risk function based on the independent quasi-likelihood. MQIC and original QIC may have non-negligible effect for model selection, especially when the true correlation structure completely different from the working correlation structure.

1	MQIC.gee(object)

object

a fitted model object of class "wgee".

Return a list of MQIC, MQICu and Quasi-likelihood.

Cong Xu, Zheng Li and Ming Wang

Pan, W., 2001. Akaike's information criterion in generalized estimating equations. Biometrics, 57(1), pp.120-125.

Gosho, M., Hamada, C., and Yoshimura, I. (2011). Modifications of QIC and CIC for Selecting a Working Correlation Structure in the Generalized Estimating Equation Method. Japanese Journal of Biometrics, 32(1), 1-12.

Imori, S., 2013. On Properties of QIC in Generalized Estimating Equations. Hiroshima University, pp.1-8.

geeglm (geepack)

data(imps)

fit <- wgee(IMPS79 ~ Drug+Sex+Time, data=imps,id=imps$ID,family="gaussian",
             corstr="independence")
MQIC.gee(fit)


data(ohio)

fit2 <- wgee(resp ~ age + smoke+age:smoke, data=ohio, id=ohio$id, 
             family="binomial", corstr="independence")
MQIC.gee(fit2)