compound.Cox: 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) <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. (2018-)<to appear>. Algorithms for generating correlated gene expressions are also available.

Package details

AuthorTakeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
MaintainerTakeshi Emura <[email protected]>
Package repositoryView on CRAN
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compound.Cox documentation built on July 21, 2018, 5:01 p.m.