A regularized variable selection procedure in additive hazards model with stratified case-cohort design

Variable Selection for Cox's Proportional Hazards Model and Frailty Model

High-dimensional variable selection for Cox’s proportional hazards model

Variable selection in high dimensional space has challenged many contemporary statistical problems from many frontiers of scientific disciplines. Recent technological advances have made it possible to collect a huge amount of covariate information such as microarray, proteomic and SNP data via bioimaging technology while observing survival information on patients in clinical studies. Thus, the ...

A Flow Model with Additive Variable Upper

Extended Abstract 1 Introduction

Variable selection for case-cohort studies with failure time outcome

Case-cohort designs are widely used in large cohort studies to reduce the cost associated with covariate measurement. In many such studies the number of covariates is very large, so an efficient variable selection method is necessary. In this paper, we study the properties of a variable selection procedure using the smoothly clipped absolute deviation penalty in a case-cohort design with a dive...

Variable Selection in Nonparametric Additive Models.

We consider a nonparametric additive model of a conditional mean function in which the number of variables and additive components may be larger than the sample size but the number of nonzero additive components is "small" relative to the sample size. The statistical problem is to determine which additive components are nonzero. The additive components are approximated by truncated series expan...