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- W4246598585 abstract "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 ma1 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 logistio model with no time censoring. The behaviour of a logistic model applied without considering the time censoring is also examined." @default.
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- W4246598585 date "1977-04-01" @default.
- W4246598585 modified "2023-09-25" @default.
- W4246598585 title "A Model for a Binary Variable with Time-Censored Observations" @default.
- W4246598585 doi "https://doi.org/10.2307/2335768" @default.
- W4246598585 hasPublicationYear "1977" @default.
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