Tallis G M, Leppard P, O'Neill T J
Department of Statistics, University of Adelaide, South Australia.
Stat Med. 1988 Apr;7(4):483-90. doi: 10.1002/sim.4780070405.
We present analyses for survival data obtained from a central cancer registry with passive follow-up. This method of data collection has the potential to produce unknown random losses which would affect estimates of survival. We show that non-parametrically estimated conditional distributions remove any effect of these unknown losses and that a compound mixture model estimates their magnitude. Lung cancer data are used to illustrate the procedures.
