The analysis of survival data from a central cancer registry with passive follow-up.
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.
Tallis
G M
GM
Department of Statistics, University of Adelaide, South Australia.
Leppard
P
P
O'Neill
T J
TJ
D000206:Actuarial Analysis / Q000379:methods*; D006801:Humans; D008175:Lung Neoplasms / Q000401:mortality; D008297:Male; D011897:Random Allocation; D012042:Registries; D013021:South Australia; D013223:Statistics as Topic