21 citations · 23 across the 3 of their papers we have counts for
3 papers
math.ST2018★ 2 cited
High Dimensional Robust Inference for Cox Regression Models
Shengchun Kong, Zhuqing Yu, Xianyang Zhang +1
We consider high-dimensional inference for potentially misspecified Cox proportional hazard models based on low dimensional results by Lin and Wei [1989]. A de-sparsified Lasso est…
stat.ME2014
Semiparametric Approach for Regression with Covariate Subject to Limit of Detection
Shengchun Kong, Bin Nan
We consider generalized linear regression analysis with left-censored covariate due to the lower limit of detection. Complete case analysis by eliminating observations with values…
math.ST2012★ 21 cited
Non-asymptotic Oracle Inequalities for the High-Dimensional Cox Regression via Lasso
Shengchun Kong, Bin Nan
We consider the finite sample properties of the regularized high-dimensional Cox regression via lasso. Existing literature focuses on linear models or generalized linear models wit…