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) .

Copy Link

Version

Down Chevron

Install

install.packages('compound.Cox')

Monthly Downloads

599

Version

3.30

License

GPL-2

Maintainer

Last Published

July 10th, 2023

Functions in compound.Cox (3.30)