The quasilikelihood information criterion (QIC) developed by Pan (2001) is a modification of the Akaike information criterion (AIC) for models fitted by GEE. QIC
is used for choosing the best correaltion structure and QICu
is used for choosing the best subset of covariates. The quasilikelihood (QLike
) is also reported for completeness. When choosing between two or more models, with different subset of covariates, the one with the smallest QICu
measure is preferred and similarly, when choosing between competing correlation structures, with the same subset of covariates in both, the model with the smallest QIC
measure is preferred.
1  QIC(object, digits = 3)

object 
is a fitted model using 
digits 
the number of decimal places to display in reported summaries. 
QLike 
model quasilikelihood. 
QIC 
model 
QICu 
model 
Pan W. Akaikes information criterion in generalized estimating equations. Biometrics 2001; 57:120125.
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