[R] inconsistency between anova() and summary() of glmmPQL

[I.Szentirmai]

Dear All,

Could anyone explain me how it is possible that one factor 
in a glmmPQL model is non-significant according to the 
anova() function, whereas it turns out to be significant 
(or at least some of its levels differ significantly from 
some other levels) according to the summary() function. 
What is the truth, which results shall I believe? And, is 
there any other way of testing for the overall effect of a 
factor in glmmPQL, than anova()?

Thanks for help,
Istvan