Tunnel state configuration for Markov cohort
I have a Markov model which requires tunnel states to account for different probabilities based on time spent in a health state. I was trying to understand how tunnel state works, so I created a small Markov model from the TreeAge manual, as shown in the image below:
I was under the impression that the _tunnel=3 under "Recover" label indicates a probability of 1, which means who did not die entered pre-cancerous state. So, I altered the model to look like the image below:
But the results are very different for these two models. I cannot figure out the difference in results between these two models. In the first image, what is the probability under "Recover" label (_tunnel=3), if it is not 1? Thank you.