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Biometrika 1986 73(3):741-745; doi:10.1093/biomet/73.3.741
© 1986 by Biometrika Trust
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Estimation in linear models with censored data

HELMUT SCHNEIDER and LISA WEISSFELD

Department of Quantitative Business Analysis, Louisiana State University Baton Rouge, Louisiana 70803, U.S.A.
Department of Biostatistics, University of Michigan Ann Arbor, Michigan 48109–2029, U.S.A.

Three methods for linear regression with censored data are considered, that of Buckley & James (1979), a proposed simpler nonparametric method and a normal model for censored data. A new estimator for the variance of the error term in Buckley & James's (1979) procedure is proposed and simulations comparing the three methods are described.

Key Words: Censored data • EM algorithm • Kaplan-Meier estimator • Linear regression


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