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Abstract:
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We propose a new class of conditional screening methods for selecting variables in ultrahigh dimensional survival data. The proposed framework utilizes the conditional screening approach, as opposed to the conventional marginal screening method, and dependence among covariates as well as prior biological information, which emerge as a powerful means to identify jointly informative variables that have marginally weak associations with clinical outcomes.
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