Supplementary material to Rank-based estimation in the `1-regularized partly linear model for censored outcomes with application to integrated analyses of clinical predictors and gene expression data
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Rank-based estimation in the {ell}1-regularized partly linear model for censored outcomes with application to integrated analyses of clinical predictors and gene expression data.
We consider estimation and variable selection in the partial linear model for censored data. The partial linear model for censored data is a direct extension of the accelerated failure time model, the latter of which is a very important alternative model to the proportional hazards model. We extend rank-based lasso-type estimators to a model that may contain nonlinear effects. Variable selectio...
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تاریخ انتشار 2009