The BLUPs Are Not “Best” When It Comes To Bootstrapping

Jeffrey S. Morris, The University of Texas M.D. Anderson Cancer Center

Abstract

In the setting of mixed models, some researchers may construct a semiparametric bootstrap by sampling from the best linear unbiased predictor residuals. This paper demonstrates both mathematically and by simulation that such a bootstrap will consistently underestimate the variation in the data in finite samples.