Estimation and Gene Selection Based on the Compound Covariate
Method Under the Cox Proportional Hazard Model
Takeshi Emura, Hsuan-Yu Chen, Yi-Hau Chen
Cox regression for survival data with high-dimensional gene expressions.
Available are statistical methods in Emura et al (2012 PLoS ONE) <DOI:10.1371/journal.pone.0047627> and
Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>
and a survival dataset for non-small-cell lung cancer patients in Chen et al (2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>.

Estimation, Gene Selection, and Survival Prediction Based on the
Compound Covariate Method Under the Cox Proportional Hazard
Model
Estimation, gene selection, and survival prediction based on the compound covariate method under the Cox model with high-dimensional 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> and
Emura & Chen (2016 Stat Methods Med Res) <DOI:10.1177/0962280214533378>. Algorithms for generating correlated gene expressions are also available.

Univariate Feature Selection and Compound Covariate for
Predicting Survival
Takeshi Emura, Hsuan-Yu Chen, Shigeyuki Matsui, Yi-Hau Chen
Univariate feature selection and compound covariate methods under the Cox model with high-dimensional features (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-)<submitted>.
Algorithms for generating correlated gene expressions are also available.

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-)<submitted>.
Algorithms for generating correlated gene expressions are also available.