Accession Number:

ADA148136

Title:

The EM Algorithm for Censored Data.

Descriptive Note:

Technical rept.,

Corporate Author:

NORTH CAROLINA UNIV AT CHAPEL HILL INST OF STATISTICS

Personal Author(s):

Report Date:

1984-01-01

Pagination or Media Count:

19.0

Abstract:

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

Subject Categories:

  • Statistics and Probability

Distribution Statement:

APPROVED FOR PUBLIC RELEASE