Liu, Xiao-YingXiao-YingLiuLiang, YongYongLiangXu, Zong-BenZong-BenXuZhang, HaiHaiZhangProf. LEUNG Kwong Sak2023-03-162023-03-162013The Scientific World Journal , 2013,4757022356-61401537-744Xhttp://hdl.handle.net/20.500.11861/7505Open accessA new adaptive shooting regularization method for variable selection based on the Cox’s proportional hazards mode being proposed. This adaptive shooting algorithm can be easily obtained by the optimization of a reweighed iterative series of penalties and a shooting strategy of penalty. Simulation results based on high dimensional artificial data show that the adaptive shooting regularization method can be more accurate for variable selection than Lasso and adaptive Lasso methods. The results from real gene expression dataset (DLBCL) also indicate that the regularization method performs competitively.enPeer Reviewed Journal Article10.1155/2013/475702