In a previous post, I showed some examples of simulating fake data from a few packages that are useful for common simulation tasks and indicated that I would be following up with a look at simulating survival data. A tremendous amount of work in survival analysis has been done in R1 and it will take some time to explore what’s out there. In this first post, I am just going to jump into the ocean of ideas and see if I can fish out and interesting example.
Markov models are commonly used in Health Care Economics to model the progression of a disease, and the efficacy and potential benefits of various treatments. One popular approach is to consider cohorts of patients who move through the three states of being healthy (no disease progression), diseased (some level of disease progression) and dead.
Read more on R Views,
This is a companion discussion topic for the original entry at https://rviews.rstudio.com/2020/10/08/fake-data-for-the-illness-death-model
