| Danny Modlin |
Life is nice in the statistical world when things are normal (distributed that is). We have performed multitudes of
regression analyses where the residuals meet the required assumptions of normality. What happens when this normality
is not present? What do you do when your response variable is a count or a rate? Welcome to the world of generalized
linear models! In this presentation, we will explore this expansion from normality using the GENMOD procedure in SAS.
Suggestions for deciding which distribution to use will be shared. Our discussion and examples will also include a look
into zero-inflation and one of the more interesting distributions, the Tweedie distribution. |