We address the problem of selecting which variables should be included in the fixed and random components of logistic mixed effects models for correlated data. A fully Bayesian variable selection is ...

Central to the idea of variance components models is the idea of fixed and random effects. Each effect in a variance components model must be classified as either a fixed or a random effect. Fixed ...

PROC GLM versus PROC MIXED for Random Effects Analysis Other SAS procedures that can be used to analyze models with random effects include the MIXED and VARCOMP procedures. Note that, for these ...

Purushottam Papatla, A Multiplicative Fixed-Effects Model of Consumer Choice, Marketing Science, Vol. 15, No. 3 (1996), pp. 243-261 ...