Do we assume underlying characteristics of data are comparable or randomization occurred. Otherwise, there could be confounders.
So you have repeat measures with no baseline value? And the outcome is categorical or is it ordinal?
Hey there!
I am practicing on these data I have and I want to apply a statistical test.
I want to compare 2 treatments: evolution and incidence of a certain disease after treatment.
There were 3 groups taken into study: treated with A (n=78), treated with B (n=65) and C=control group, untreated (n=72).
I evaluated them initially, 6 months and 12 months after the initiation of treatment. Each subject received score 0, 1 or 2 at these time points.
Since the data are categorical, I am thinking of applying chi-square test, but I am not quite sure about the steps I have to follow.
Should I calculate expected value (and how?), the distribution of the data (?). Could you suggest some steps (mean, standard deviation)? Thank you!
Do we assume underlying characteristics of data are comparable or randomization occurred. Otherwise, there could be confounders.
So you have repeat measures with no baseline value? And the outcome is categorical or is it ordinal?
Stop cowardice, ban guns!
Do you know the context of the example? So subjects assigned to one of three groups and you collect a variable at six and 12 months that is on the scale 1-16, correct?
What does the dispersion of the outcomes look like, and once again, we don't know what they represent.
Stop cowardice, ban guns!
Yes, a histogram would be nice. I have not seen it, but there is some literature stating an ordinal range with 7 or more values might be modeled as a continuous variable. I was just curious in your sample what values were seen.
Once again, do you have a baseline incontinence score?
Stop cowardice, ban guns!
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