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compound.Cox (version 3.20)

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.

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Install

install.packages('compound.Cox')

Monthly Downloads

632

Version

3.20

License

GPL-2

Maintainer

Last Published

July 4th, 2020

Functions in compound.Cox (3.20)