A maximum pseudo-profile likelihood estimator for the Cox model under length-biased sampling
This paper considers semiparametric estimation of the Cox proportional hazards model for right-censored and length-biased data arising from prevalent sampling. To exploit the special structure of length-biased sampling, we propose a maximum pseudo-profile likelihood estimator, which can handle time-dependent covariates and is consistent under covariate-dependent censoring. Simulation studies show that the proposed estimator is more efficient than its competitors. A data analysis illustrates the methods and theory. Copyright 2012, Oxford University Press.
Year of publication: |
2012
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Authors: | Huang, Chiung-Yu ; Qin, Jing ; Follmann, Dean A. |
Published in: |
Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 99.2012, 1, p. 199-210
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Publisher: |
Biometrika Trust |
Saved in:
Online Resource
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