Interaction screening by Kendall's partial correlation for ultrahigh-dimensional data with survival trait.

Abstract excerpt

MOTIVATION: In gene expression and genome-wide association studies, the identification of interaction effects is an important and challenging issue owing to its ultrahigh-dimensional nature. In particular, contaminated data and right-censored survival outcome make the associated feature screening even challenging. RESULTS: In this article, we propose an inverse probability-of-censoring weighted Kendall's tau...

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