Chapter 12
Censored Data
12.1 Introduction
In classical statistics, the observations are frequently assumed to include independent random variables X1, …, Xn, with Xi having the density function
where αiθ(x) is the hazard function, Siθ(x) is the survival function, and θ is a vector of unknown parameters. Then inference on θ may be based on the likelihood function,
in the usual way. In survival analysis, however, one can rarely avoid various kinds of incomplete observation. The most common form of this is right-censoring where the observations are
(1)
where Di is the indicator I{i = Xi}, and i = Xi, the true survival time, if the observation of the lifetime of i is uncensored and i = Ui, the time of right-censoring, otherwise. Thus, Di = 1 indicates an uncensored observation, Di = 0 corresponds to a right-censored observation. Other kinds of incomplete observation will ...
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