I have been a loyal JMP user for more than ten years, and I have introduced many of my colleagues and students to JMP. I love its user interface and the speed with which I can do analysis.
However, more and more clinical journals in my field (transplantation) require time-dependent models (usually Cox models) for publication (see Gaynor et al. Am J Transplant. 2023 p.815 recently highlighting this in the number one transplant journal in the world). Thus, as a clinician, I am increasingly forced to rely on my statistical colleagues using R to help me conduct this analysis since JMP lacks this ability.
This is extremely frustrating since I can perform all other univariable and multivariate analyses myself, but as soon as I hit this roadblock, it slows down my workflow because I now have to depend on others to do my analysis.
Although I would love to keep using JMP, at this point, it is becoming harder and harder not to bite the bullet and learn how to use R (I really don’t want to spend the time learning how to code).
Can you tell me if JMP ever plans to support time-dependent Cox models?
