MODEL FOR A BINARY VARIABLE WITH TIME-CENSORED OBSERVATIONS
成果类型：
Article
署名作者：
FAREWELL, VT
署名单位：
Imperial College London; University of London
刊物名称：
BIOMETRIKA
ISSN/ISSBN：
0006-3444
DOI：
10.2307/2335768
发表日期：
1977
页码：
4346
关键词：
摘要：
A binary variable can specify the incidence of a particular disease, Y = 1 or a lifetime free of the disease, Y = 0. In a study, some subjects have Y = 1 recorded at specified ages. For other subjects, with Y unknown due to incomplete follow-up, the observed follow-up time compared with the usual incidence pattern for the disease gives some information on the possibility that Y = 0. A model for this situation is proposed which combines a logistic relationship for the probability of incidence and an exponential distribution for the time of incidence. The efficiency of the model is compared with that of a logistic model with no time censoring. The behavior of a logistic model applied without considering the time censoring is also examined.