Hi,
I am trying to figure out how to do hypothesis testing with censored data and how to determine sample size for future studies.
My data are both left censored and interval censored. I want to show that an "event" has happened for 95% of samples before a certain timepoint (upper limit).
I have used the Life Distribution functionality in JMP to make an event plot, determine the best model for my data, and to determine at what timepoint 95% of my samples have shown an event. I then compare the timepoint for the 95% quantile to my upper limit. Does this sound like the correct approach?
I then want to use the model data from the study to determine the required sample size for my next study. Any suggestions on how to do that?
Kind regards
Thor
