A maximum pseudo-profile likelihood estimator for the Cox model under length-biased sampling

Chiung-Yu Huang, Jing Qin and Dean A. Follmann

Biometrika, 2012, vol. 99, issue 1, 199-210

Abstract: 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.

Date: 2012
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