Regression models for survival data: the generalised time dependent logistic family
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A three‐parameter family of survival models is introduced. The base‐line density is derived and the main properties of the model, including a frailty interpretation, are discussed. Several different regression models are considered, and one of these, which is non‐proportional hazards and which has other interesting properties—the generalized time‐dependent logistic model—is developed in some detail. The method of maximum likelihood is used to estimate the parameters and to generate the observed information in the presence …
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