- Thread starter Highhopes!
- Start date

If you have a model that is significant, but no variables that are then Multicolinearity is a likely issue. I think if controls are thought to be theoretically significant then you should include them in your model. I don't understand "...My question is do I have to include or control for age and sex variables as data is already nonparametric, e.g. sample sizes are not same, not normality distributed so age, sex etc are irrelevant anyway"

whether a variable should be in the model has nothing to do with normality (I am not sure why sample size would change).

At this point I like to step back and try to understand what you are working with. What is your sample size? What percentage of the sample has the outcome of interest? How many predictors are you examining and are and categorical with greater than 2 groups?

P.S., What does "Another" reference"? What was the other strange result?