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Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (e.g., gene expressions). Available are survival data for non-small-cell lung cancer patients with gene expressions (Chen et al 2007 New Engl J Med) doi:10.1056/NEJMoa060096, statistical methods in Emura et al (2012 PLoS ONE) doi:10.1371/journal.pone.0047627, Emura & Chen (2016 Stat Methods Med Res) doi:10.1177/0962280214533378, and Emura et al (2019)doi:10.1016/j.cmpb.2018.10.020. Algorithms for generating correlated gene expressions are also available. Estimation of survival functions via copula-graphic (CG) estimators is also implemented, which is useful for sensitivity analyses under dependent censoring (Yeh et al 2023) doi:10.3390/biomedicines11030797.
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