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June, 1994 On Using Stratification in the Analysis of Linear Regression Models with Right Censoring
Mendel Fygenson, Mai Zhou
Ann. Statist. 22(2): 747-762 (June, 1994). DOI: 10.1214/aos/1176325494

Abstract

We study two modified synthetic data least-squares estimation methods for linear regression models with right censored response variables, unspecified residual distributions and random censoring variables which may not be i.i.d. These methods are the result of an investigation into the use of stratification. We conclude that stratification should be used whether or not the censoring variables are dependent on the covariates. We give the asymptotic results of the estimators and numerical results.

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Mendel Fygenson. Mai Zhou. "On Using Stratification in the Analysis of Linear Regression Models with Right Censoring." Ann. Statist. 22 (2) 747 - 762, June, 1994. https://doi.org/10.1214/aos/1176325494

Information

Published: June, 1994
First available in Project Euclid: 11 April 2007

zbMATH: 0805.62065
MathSciNet: MR1292539
Digital Object Identifier: 10.1214/aos/1176325494

Subjects:
Primary: 62G05
Secondary: 62E20, 62E25, 62J05

Rights: Copyright © 1994 Institute of Mathematical Statistics

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Vol.22 • No. 2 • June, 1994
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