Hello,
First off, I'm sorry to post such a basic question and basically ask someone to do my work for me... BUT... issues with data sparsity and collinearity were not covered in my stats for epi course, infact they were referred to... by saying they would be covered in the advanced course! That's no help to me as I am now desperately trying to complete my public health thesis and have come a cropper at this model! I simply don't know how to interpret it!! I know that there is evidence that 'nquad' (Number of quadrants) and ndox40e6 (positive E6 test) act as effect modifiers but I am a little lost. I thought that using margins would help but I still cannot interpret. I simply want to explain this output and present this in table (it's fair to say that anything further analysis would be too technical for me at this stage). I have only ever previously worked with a model with dichotomous variables as interaction terms, and there was no collinearity or lack of data.
Can anyone help?
Thanks
Flo
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