I have the survival dataset of a population with a special disease. I´d like to compare this population with the general population to see whether this population has a decreased life-expectancy overall. What I had in mind was to create a control for each patient in the dataset and enter the age, sex and cohort specific life-expectancy from the national statistics databank and just run a Kaplan-Meier analysis.
However, I´m unsure as to how I should deal with the censoring issue. Should I just censor the control if the life-expectancy for the x-aged, y-sexed, z-cohort exceeds todays date, i.e.: a 50 year old male in 2000 was expected to live 28 years in the general population? My take is that he should enter with 11 years and a censoring status.
Or is there some other more mathematically savvy way of doing this taking into account the uncertainty with the projected life-expectancy for the population?