An overview will be given of various diagnostic tools for detecting influential observations in linear mixed models.

Some of them are extensions of regression diagnostic techniques commonly used in linear regression, e.g. leverage,  case deletion diagnostics, Cook’s distance.


1.    E. Demidenko, T.A. Stukel (2005). Influence analysis for linear mixed effects models. Statist. Med., 24:893–909.

2. O. Schabenberger, Mixed Model Influence Diagnostics, Paper 189-29. SAS Institute Inc., Cary, NC.


When: Sept 18, at 1-2 pm

Where: Room B705, Department of Statistics, Stockholm University