Empirical constrained Bayes predictors accounting for non-detects among repeated measures

When the prediction of subject‐specific random effects is of interest, constrained Bayes predictors (CB) have been shown to reduce the shrinkage of the widely accepted Bayes predictor while still maintaining desirable properties, such as optimizing mean‐square error subsequent to matching the first...

Ausführliche Beschreibung