Univariate Feature Selection and Compound Covariate for Predicting Survival

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) , statistical methods in Emura et al (2012 PLoS ONE) , Emura & Chen (2016 Stat Methods Med Res) , and Emura et al. (2018-). Algorithms for generating correlated gene expressions are also available.


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install.packages("compound.Cox")

3.14 by Takeshi Emura, 2 months ago


Browse source code at https://github.com/cran/compound.Cox


Authors: Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen


Documentation:   PDF Manual  


Task views: Survival Analysis


GPL-2 license


Depends on numDeriv, survival


Depended on by Bivariate.Pareto, GFGM.copula.


See at CRAN