Statistical models that generate predicted random effects are widely used to evaluate the performance of and rank patients, physicians, hospitals and health plans from longitudinal and clustered data.
Numbers are regression coefficients and 95% Credible Intervals if not otherwise noted. ND = Neighborhood Disadvantage; SED = Socioeconomic Disadvantage; VPC = Variance Partition Coefficient; DIC = De
In this paper we derive the asymptotic distribution of estimated best linear unbiased predictors (EBLUPs) of the random effects in a nested error regression model. Under very mild conditions which do
