I have a question regarding my Time to Event variable. Since I am working with time-varying variables (which can change every year), I use a data structure with one line per individual per year. there are only as many rows as # of years until the event. Each year is indicated whether the event occurs or not. The event can only occur once. Can I work with a modified time-to-event variable here? My idea was to measure the duration anew each year to avoid proportionality problems. That means the time to event is always equal to 1. In fact, I only measure the survival per year. In my analyses, I only want to determine for whom an event occurs and for whom it does not. The advantage of using such an artificial time-to-event variable is that the proportionality assumption can be circumvented in this way. Does this trick seem permissible to you? Thanks a lot... any feedback would be highly appreciated.
EDIT (I thank the commentator for the helpful questions): The events are only recorded as once per year. There is no particular time during the year that the values of time-varying variables change. I only want to know if an event occurred or not. How long the individual survived is basically not important to me. Whether the event happens sooner or later is not important to me. I only want to know which variables have an influence on the occurrence of the event. time since a change in a time-varying variable is more important to me. The effect of certain variables changes over time. That's why i came up with that artificial time to event variable. The survival time / time-to-event is always recalculated after the change of the time-dependent variables.