Is it necessary to test for outliers/influential observations in GLIMMX (binomial, logit)?

[marcel]

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

[PGStats · Accepted solution]

Only robust procedures give you some automatic protection against outliers. Elsewhere you should always be on the lookout for them.

[marcel]

Mr. PGStats,

I thought so. Thank you so much for the clarification.

Regards,

Marcel