Censored survival data with misclassified covariates: a case study of breast-cancer mortality

A number of alternative models are used to examine the relationship of survival among breast-cancer patients to the time since diagnosis and to the stage of the disease at diagnosis. The data concern 2,495 women aged 55-64 diagnosed with breast cancer in the San Francisco Bay area of California. In particular, the authors examine the extent to which the bad fit of simple models for breast-cancer survival is due to measurement error in the covariates.