Competing Risks Data Analysis with High-dimensional Covariates: An Application in Bladder Cancer

@inproceedings{Tapak2015CompetingRD,
  title={Competing Risks Data Analysis with High-dimensional Covariates: An Application in Bladder Cancer},
  author={Leili Tapak and Massoud Saidijam and Majid Sadeghifar and Jalal Poorolajal and Hossein Mahjub},
  booktitle={Genomics, Proteomics & Bioinformatics},
  year={2015}
}
Analysis of microarray data is associated with the methodological problems of high dimension and small sample size. Various methods have been used for variable selection in high-dimension and small sample size cases with a single survival endpoint. However, little effort has been directed toward addressing competing risks where there is more than one failure risks. This study compared three typical variable selection techniques including Lasso, elastic net, and likelihood-based boosting for… CONTINUE READING
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