I've built a survival model, and I want to examine pairwise comparisons between my treatment groups. I have an advertising data set where I am modeling a conversion event(Purchase = 1, No Purchase = 0), using number of impressions as my time variable and adgroup(with 5 levels - control, seg1, seg2, seg3, and seg,4) as my covariate.
Using a CoxPH model, I've ran some code to get contrasts between seg1 and seg2.
>contrast(imp.cph, list(first_imp_adgroup_id='seg1'),list(first_imp_adgroup_id='seg2')) Contrast S.E. Lower Upper Z Pr(>|z|) 11 0.574862 0.1344827 0.3112808 0.8384433 4.27 0 Confidence intervals are 0.95 individual intervals
My first question is, how do I interpret that contrast coefficient?
Also, is my model baseline (the control) going to affect my interpretation?
I've never done survival analysis before, but my boss just threw this at me, so I'm trying to learn!