Hello,
I'm having trouble figuring out how to model my data. I am trying to determine gender difference in childhood PTSD at 3 different timepoints.
I have the following:
Predictor variables: Fixed effects such as gender, neighborhood, age, and race.
Outcome variable: PTSD Burden/SCORE
I was modeling PTSD Burden as a continuous outcome using PROC MIXED, but after some reflection and research, I realized this might not the best way to model this data. For example, I was getting an intercept of 21.56, but it is impossible to get a non-integer PTSD score. I cannot find an integer option with PROC MIXED. As far as I know, only PROC OPTMODEL can give integer solutions. Do I need to transform my data in any way? Would anyone be able to point me in the right direction?
Thanks so much!
Personally, I don't have a problem saying that the average PTSD score (at time=0?) is 21.56. It's an average. We routinely hear that the average American family has 2.5 kids and 1.2 pets. Averages don't have to be integers.
Moving this topic to the Statistic Community for greater visibility.
Personally, I don't have a problem saying that the average PTSD score (at time=0?) is 21.56. It's an average. We routinely hear that the average American family has 2.5 kids and 1.2 pets. Averages don't have to be integers.
Moving this topic to the Statistic Community for greater visibility.
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