Linear life expectancy regression with censored data
In the statistical literature, life expectancy is usually characterised by the mean residual life function. Regression models are thus needed to study the association between the mean residual life functions and their covariates. In this paper, we consider a linear mean residual life model and develop inference procedures in the presence of potential censoring. The new model and inference procedures are applied to the Stanford heart transplant data. Semiparametric efficiency calculations and information bounds are also considered. Copyright 2006, Oxford University Press.
Year of publication: |
2006
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Authors: | Chen, Y. Q. ; Cheng, S. |
Published in: |
Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 93.2006, 2, p. 303-313
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Publisher: |
Biometrika Trust |
Saved in:
Online Resource
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