MQIC and MQICu for GEE
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.
MQIC.gee(object)
object |
a fitted model object of class |
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.