compound.Cox

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

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References in zbMATH (referenced in 4 articles )

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  1. Emura, Takeshi; Hsu, Jiun-Huang: Estimation of the Mann-Whitney effect in the two-sample problem under dependent censoring (2020)
  2. Feng, Long; Zhang, Xiaoxu; Liu, Binghui: A high-dimensional spatial rank test for two-sample location problems (2020)
  3. Emura, Takeshi; Matsui, Shigeyuki; Rondeau, Virginie: Survival analysis with correlated endpoints. Joint frailty-copula models (2019)
  4. Yang, Szu-Peng; Emura, Takeshi: A Bayesian approach with generalized ridge estimation for high-dimensional regression and testing (2017)