I'm using the Fit Parametric Survival platform and finding convergence issues with many models that I run. For example, I can use 1 model effect and get convergence, and sometimes I can use 2 model effects (independent variables), but other combinations of 2 model effects will not converge. I don't think I have too many degrees of freedom -- one model that doesn't converge has 11 DF, while another model that does converge (on the same data) has 49DF. What tips are there to address convergence issues?