Programming the statistical procedures from SAS

Proc Genmod - To scale or not to scale?

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Proc Genmod - To scale or not to scale?

Hi SAS Community,

I am modelling claim frequencies with 20 variables using Proc Genmod and a Poisson distribution. Below is my code:

Proc genmod data=sasuser.data1;
Class
var1    (param=ref)
var2    (param=ref)

.

.

var20(param=ref)
;
Model

claim_freq =    var1 var2 ..var20

/ dist=poissonscale=pearson
link=log
type1
type3
offset=_exp;

Run;

My question is whether I should set the scale=Pearson or scale=Deviance or leave out the scale specification altogether?

What criteria should I use when determining the best course of action?  Should I perhaps choose the scaling that provides the largest amount of influential variables?  Or should I use the Likelihood Ratio Analyses Type1 and Type2 to find the best scale?

Thanks for your help!

-Louis

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