Population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration.
Selective underascertainment of cases may bias estimates of cancer patient survival. We show that the magnitude of potential bias strongly depends on the time periods affected by underascertainment and on the type of survival analysis (cohort analysis vs period analysis). We outline strategies on how to minimise or overcome potential biases.
Brenner
H
H
Department of Epidemiology, German Centre for Research on Ageing, Bergheimer Strasse 20, D-69115 Heidelberg, Germany. Brenner@dzfa.uni-heidelberg.de
Hakulinen
T
T
D015982:Bias; D015331:Cohort Studies; D005260:Female; D005387:Finland / Q000453:epidemiology; D006801:Humans; D008297:Male; D009369:Neoplasms / Q000401:mortality*; D011379:Prognosis; D012042:Registries; D016019:Survival Analysis; D015996:Survival Rate; D013997:Time Factors