I am just here to make an observation and perhaps to verify that I am thinking correctly. When setting up a new model, using recaptures, one of the options is to set time intervals between capture sessions. An assumption is that capture sessions occur at uniform time intervals, and when not, if they are very variable, then this allows one to control for this variability. I just happen to have some frog capture data that happened at variable intervals.
If one does not use this option, then the time interval involved is whatever time interval there is between capture sessions. So, if one captured biweekly, then the survival rates calculated will be per biweek. Okay, let's imagine that the time interval averages 2 weeks between captures, but for climatic reasons, can vary from 5 to 25 days. Now, we could put fractions of two weeks into those intervals, or we could put days into those intervals.
Now, if we use days, then our survival rates will be per day, rather than per capture interval, while if we use the fraction of the capture interval, then the survival rate will be in capture intervals. Following this train of thought, if age were important and we used a model to examine age, our Phi will be in age units - that is, if survival is over a maximum of 5 sampling sessions, then we will get five estimates for Phi (one for each age), however, if we used DAYS to set the interval between capture sessions, the value will be in daily survival rates. If we used fractions of time of two weeks (the average interval between capture sessions), then the survival rates will be for two-week intervals.
Thus, one must have some preferred notion of what time interval is of interest, because we can get MARK to correctly estimate the confidence interval. But, if we have daily survival rate and we wish to actually use monthly survival rate, then we will have to recalculate by hand the new confidence intervals (if I speak correctly).
Anyone want to comment or confirm (or clarify

Cheers,
Jim