I am working on a research paper looking at hospital readmissions after surgery and I have data for about 200 patients. I have the readmission dates for the first year after initial hospital discharge and I can accordingly calculate time between any two events (readmissions). In my sample, it turned out that the number of readmission events per patient are between 0 and 8; i.e. some patients have no readmissions and some have up to 8. I am aware that this is a recurrent time-to-event; but our focus is not on creating survival curves. Our focus is on those admitted (165 patients) and we are wondering if patients with multiple readmissions have their events close together or scattered throughout the year. Any suggestions of what analysis to use in order to make a conclusion or not whether that repeated readmissions are close together or spread over time? If not a specific analysis, is there any graph that can visualize this (I was thinking at the single patient level)? I would appreciate if anybody have the syntax or link to that. Thanks!