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Posted 11-14-2017 04:57 PM
(2826 views)

My outcome is a count of the number of 5 different activities a person engaged in. It ranges from 0 to 5. I'm thinking of a binomial model with genmod or a cumulative logit model with proc logistic. For the former, I'm not really certain that these are trials and if they are, they probably aren't independent trials. So, I'm leaning towards the ordinal outcome. Are there others that I should consider? Thank you!

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You might describe the question of interest that the analysis is supposed to answer.

There would be different approaches to "mean number of activities", "maximum/minimum number of activities" or "number of activities in relationship to circumstances x, y and z (and whether x, y and z are categorical, nominal ordinal or contimuous)

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Yes. Such a count response could be modeled as I suggested.

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The Poisson distribution is bounded by zero and has no upper bound. So if your count can be no greater than 5, the Poisson quite likely is not appropriate.

@Rick_SAS recommended the binomial distribution in a previous response in this thread. I agree with his suggestion. The binomial will produce an analysis of the *proportion* of activities engaged in: 0/5, 1/5, 2/5, 3/5, 4/5, 5/5.

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