compound.Cox (version 3.30)
Univariate Feature Selection and Compound Covariate for
Predicting Survival
Description
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 (2019).
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) .