Calcite | Level 5

## proc genmod graphics for count data model fit assessment

Hello,

I am a beginner stat student. I am trying to plot observed and predicted Poisson and negative binomial probabilities against the

data observed. I have no experience or prior knowledge of graphing. I am getting lost in all complex explanations.

Below is my syntax. How do I plot predicted Poisson and negative binomial probabilities against the sample below?

data world;
input scores @@;
datalines;
5 1 6 3 2 1 2 1 1 2 1 3 3 3 3
4 1 1 1 2 1 3 2 2 3 7 3 3 7
4 3 3 3 2 4 2 0 3 3 3 2 4 2
1 1 1 3 7 3 2 2 2 5
;

proc means data=world n mean var;
run;
/* Mean= 2.67 and Variance=2.56. The data is a good canfidate for poisson distribution. */

proc genmod data=world;
run;

1 ACCEPTED SOLUTION

Accepted Solutions
SAS Super FREQ

## Re: proc genmod graphics for count data model fit assessment

Another example that produces both an observed vs. expected plot (using PROC COUNTREG) and a test of the fit (using PROC FREQ) is shown in this note.

4 REPLIES 4
SAS Super FREQ

## Re: proc genmod graphics for count data model fit assessment

Follow the example in the article "Fitting a Poisson distribution to data in SAS."

Calcite | Level 5

SAS Super FREQ

SAS Super FREQ

## Re: proc genmod graphics for count data model fit assessment

Another example that produces both an observed vs. expected plot (using PROC COUNTREG) and a test of the fit (using PROC FREQ) is shown in this note.

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