Hello,
This note http://support.sas.com/kb/32/471.html indicates how to test the assumption in a GLIMMIX model, but it does not mentioin how to check for ourliers or influential values. Does this mean checking for outlies is not necessary in GLIMMIX?
This example https://stats.idre.ucla.edu/sas/seminars/sas-logistic/proc-logistic-and-logistic-regression-models/ shows how to evaluate Influence Statistics in sas PROC logistic. I assume it is necessary to check for outliers in GLIMMIX then.
Regards,
marcel
Only robust procedures give you some automatic protection against outliers. Elsewhere you should always be on the lookout for them.
Only robust procedures give you some automatic protection against outliers. Elsewhere you should always be on the lookout for them.
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.