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- W1974321464 abstract "For the regression parameter β in the Cox model, there have been several estimates based on different types of approximated likelihood. For right-censored data, Ren and Zhou [Full likelihood inferences in the Cox model: an empirical approach. Ann Inst Statist Math. 2011;63:1005–1018] derive the full likelihood function for (β, F0), where F0 is the baseline distribution function in the Cox model. In this article, we extend their results to left-truncated and right-censored data with discrete covariates. Using the empirical likelihood parameterization, we obtain the full-profile likelihood function for β when covariates are discrete. Simulation results indicate that the maximum likelihood estimator outperforms Cox's partial likelihood estimator in finite samples." @default.
- W1974321464 created "2016-06-24" @default.
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- W1974321464 date "2014-02-11" @default.
- W1974321464 modified "2023-09-23" @default.
- W1974321464 title "Full likelihood inference in the Cox model with LTRC data when covariates are discrete" @default.
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- W1974321464 doi "https://doi.org/10.1080/02331888.2014.881825" @default.
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