I have a telemetry dataset that I am using to estimate survival for several demographic classes and test alternative models under the known fate datatype. I am interested in generating annual survival estimates and the dataset contains data from 4 years of monitoring.
I have some censoring issues stemming from a transmitter performance issue associated with 1 particular shipment. So, to maximize the potential information in the data, I have coded the encounter histories using 2-month intervals. Obtaining annual survival estimates is relatively straighforward as the product of the 6 2-month intervals making up a year. What is unclear to me is how to derive variance estimates for annual survival from the 2-month interval estimates.