MODEL FOR A BINARY VARIABLE WITH TIME-CENSORED OBSERVATIONS
MODEL FOR A BINARY VARIABLE WITH TIME-CENSORED OBSERVATIONS
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DOI：
10.2307/2335768
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发表时间：
1977-01-01
期刊：
影响因子：
2.7
通讯作者：
FAREWELL, VT
中科院分区：
文献类型：
--
作者：
FAREWELL, VT
二元变量可以指定特定疾病的发病率，Y = 1或无疾病的寿命，Y = 0。在一项研究中，一些受试者在特定年龄时记录的Y = 1。对于其他受试者，由于随访不完整，Y未知，观察到的随访时间与疾病的通常发病率模式相比，提供了Y = 0的可能性的一些信息。针对这种情况，提出了一种模型，它结合了发病概率的逻辑关系和发病时间的指数分布。将该模型的效率与无定时截尾的Logistic模型的效率进行了比较。还研究了不考虑定时截尾的Logistic模型的行为。
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.