Variable selection in partly linear regression model with diverging dimensions for right censored data
نویسندگان
چکیده
منابع مشابه
Variable Selection in Partly Linear Regression Model with Diverging Dimensions for Right Censored Data.
Recent biomedical studies often measure two distinct sets of risk factors: low-dimensional clinical and environmental measurements, and high-dimensional gene expression measurements. For prognosis studies with right censored response variables, we propose a semiparametric regression model whose covariate effects have two parts: a nonparametric part for low-dimensional covariates, and a parametr...
متن کاملKernel Ridge Estimator for the Partially Linear Model under Right-Censored Data
Objective: This paper aims to introduce a modified kernel-type ridge estimator for partially linear models under randomly-right censored data. Such models include two main issues that need to be solved: multi-collinearity and censorship. To address these issues, we improved the kernel estimator based on synthetic data transformation and kNN imputation techniques. The key idea of this paper is t...
متن کاملEstimating regression parameters in linear regression model with a censored response variable
In this work we study the effect of several covariates X on a censored response variable T with unknown probability distribution. In this context, most of the studies in the literature can be located in two possible general classes of regression models: models that study the effect the covariates have on the hazard function; and models that study the effect the covariates have on the censored r...
متن کاملLinear Regression with Interval Censored Data
Ž . are observed instead of the usual Y , Z , where I for some censori i i Y T 4 i i ing times T . This observation scheme is also called the binary choice model i Ž . Coslett 1987 and Case 1 interval censoring Groeneboom and Wellner Ž . 4 4 1992 . We assume that the errors are independent of Z , T and are i i i Ž . i.i.d. variables with a common distribution F t . Situations involving interval...
متن کاملAn Empirical Likelihood Method for Semiparametric Linear Regression with Right Censored Data
This paper develops a new empirical likelihood method for semiparametric linear regression with a completely unknown error distribution and right censored survival data. The method is based on the Buckley-James (1979) estimating equation. It inherits some appealing properties of the complete data empirical likelihood method. For example, it does not require variance estimation which is problema...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistica Sinica
سال: 2012
ISSN: 1017-0405
DOI: 10.5705/ss.2010.267