Evaluation of Linear Mixed Model Case Deletion Diagnostic Tools by Monte Carlo Simulation

摘要

A large number of statistics have been proposed to study the influence of individual observations in the linear mixed model. An extensive Monte Carlo simulation study is used to evaluate the appropriateness of these influence diagnostic measures. The sensitivity of the diagnostic measures to outliers and leverages is examined, and helpful results are obtained.