The EM Algorithm for Censored Data.
NORTH CAROLINA UNIV AT CHAPEL HILL INST OF STATISTICS
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Three methods for applying the expectation maximization algorithm to censored data are considered, the Buckley-James, a proposed simpler nonparametric method and a normal model for censored data. A new estimator for the variance of y in the Buckley-James model is proposed and simulations comparing the three methods are described. To illustrate the use of these methods they are applied to the Stanford heart transplant data. Author
- Statistics and Probability