I am trying to run a multivariate Cox regression analysis but I have 1 value for 1 variable that has no events reached. This variable was treatment (values = treatment 1, treatment 2, treatment 3, and treatment 4). Treatment 4 was the baseline, and treatment 2 had no events.
On univariate analysis, I am fine with not having a p-value for treatment 2 and saying there were no patients who reached the event.
However, now I need to run a multivariate analysis, and I was wondering if treatment 2 is making the rest of my results invalid. Again, I am fine reporting no statistical results for treatment 2.
Basically, I am wondering if I can use the results below as they are, and just ignore the row for treatment 2 (bolded).
If what is below is not valid, I may consider grouping treatment 2 with the baseline treatment or just removing patients in that group from the analysis entirely (changing the inclusion criteria), but neither of these are ideal based on practical context.
This is what I see in r:
Warning message: In fitter(X, Y, strats, offset, init, control, weights = weights, : Loglik converged before variable 9 ; coefficient may be infinite.