Conditioned life tables from registries with unidentified random losses.
We identify two types of random loss that may afflict registries which use 'passive follow-up'. The effects of these errors on estimates related to survival are examined mathematically and numerically. A procedure for correcting the attendant biases is suggested, and its strengths and limitations are explored.
Department of Statistics, University of Adelaide, South Australia.
G M
GM
Tallis
P
P
Leppard
T J
TJ
O'Neill
D015982:Bias; D001943:Breast Neoplasms / Q000453:epidemiology / Q000401:mortality; D005260:Female; D006801:Humans; D015993:Life Tables; D008175:Lung Neoplasms / Q000453:epidemiology / Q000401:mortality; D008297:Male; D015233:Models, Statistical; D009026:Mortality; D011336:Probability; D011897:Random Allocation; D012042:Registries; D013021:South Australia / Q000453:epidemiology; D015996:Survival Rate; D013997:Time Factors; D014481:United States / Q000453:epidemiology