High-Dimensional Variable Selection with Right Censored Length-biased Data

@article{He2020HighDimensionalVS,
  title={High-Dimensional Variable Selection with Right Censored Length-biased Data},
  author={Di He and Yong Zhou and Hui Zou},
  journal={Statistica Sinica},
  year={2020},
  volume={30},
  pages={193-215}
}
Length-biased data are inevitably encountered in various fields ranging from epidemiological cohort studies to studies of labor economics, attracting much attention in the survival literature. A crucial goal of survival analysis is to identify a subset of risk factors and their risk contributions among massive clinical covariates. However, there has been no work on variable selection for length-biased data due to the complex nature of such data and the lack of a convenient loss function. In… 

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