My question is:
To analyse survival rate with individual covariates, when the data includes both censored cases and is ragged

If yes, of course, one should anyway consider the possible reasons for the tracking failures and any possible bias created in the results.
I have'nt so far found published studies with similiar data analysed with MARK, see also http://www.phidot.org/forum/viewtopic.p ... ght=ragged
My data:
I'm planning to analyse an extensive 3-year telemetry data on survival of adult birds with MARK. We captured and marked individualls once a year (around 60/year), followed their survival until death / end of the study / as long as we could track them. So, due to the realism created by the field conditions, wide study area, and length of the data, it includes both
- cases that are lost before the end of the study, i.e. fate is not known (censored cases)
- individually varying sampling periods (ragged data)
Any comments are welcome!
Regards, Miina