Covariate-Adjusted Constrained Bayes Predictions of Random Intercepts and Slopes
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Constrained Bayes methodology represents an alternative to the posterior mean (empirical Bayes) method commonly used to produce random effect predictions under mixed linear models. The general constrained Bayes methodology of Ghosh (1992) is compared to a dire... ...
