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 ...

The consequence of having random effects in your model is that some observations are no longer uncorrelated but instead have a covariance that depends on the variance of the random effect. In fact, a ...

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