Assessment and comparison of prognostic classification schemes for survival data, Statistics in Medicine, vol.307, issue.17-18, pp.2529-2574, 1999. ,
DOI : 10.1017/CBO9780511812651
Stability selection, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.7, issue.4, pp.417-73, 2010. ,
DOI : 10.1186/1471-2105-9-307
URL : http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9868.2010.00740.x/pdf
Regression shrinkage and selection via the lasso, J Royal Statist Soc B, vol.58, pp.267-88, 1996. ,
DOI : 10.1111/j.1467-9868.2011.00771.x
Empirical extensions of the lasso penalty to reduce the false discovery rate in high-dimensional Cox regression models, Statistics in Medicine, vol.96, issue.456, pp.2561-73, 2016. ,
DOI : 10.1198/016214501753382273
Identification of biomarker-by-treatment interactions in randomized clinical trials with survival outcomes and high-dimensional spaces, Biometrical Journal, vol.67, issue.4, pp.685-701, 2017. ,
DOI : 10.1111/j.1467-9868.2005.00503.x
Robust estimation of the expected survival probabilities from high-dimensional Cox models with biomarker-by-treatment interactions in randomized clinical trials, BMC Medical Research Methodology, vol.33, issue.3, p.83, 2017. ,
DOI : 10.1002/sim.6246
On the C-statistics for evaluating overall adequacy of risk prediction procedures with censored survival data, Statistics in Medicine, vol.81, issue.2, pp.1105-1122, 2011. ,
DOI : 10.2307/2337051
Regularization and variable selection via the elastic net, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.5, issue.2, pp.301-321, 2005. ,
DOI : 10.1073/pnas.201162998
The Adaptive Lasso and Its Oracle Properties, Journal of the American Statistical Association, vol.101, issue.476, pp.1418-1447, 2006. ,
DOI : 10.1198/016214506000000735
URL : http://cbio.ensmp.fr/~jvert/svn/bibli/local/Zou2006adaptive.pdf