Yanqing Sun,Jimin Lee
Yanqing Sun
A common problem associated with longitudinal studies is the dropouts of subjects or censoring before the end of follow-up. In most existing methods, it is assumed that censoring is noninformative about missed responses. This assumption is ...
VARIABLE SELECTION IN PARTLY LINEAR REGRESSION MODEL WITH DIVERGING DIMENSIONS FOR RIGHT CENSORED DATA [0.03%]
带有发散维度的右删失数据下半参数回归模型中的变量选择方法研究
Shuangge Ma,Pang Du
Shuangge Ma
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 variab...
ON MODEL SELECTION STRATEGIES TO IDENTIFY GENES UNDERLYING BINARY TRAITS USING GENOME-WIDE ASSOCIATION DATA [0.03%]
利用全基因组关联数据分析二元性状的候选基因
Zheyang Wu,Hongyu Zhao
Zheyang Wu
For more fruitful discoveries of genetic variants associated with diseases in genome-wide association studies, it is important to know whether joint analysis of multiple markers is more powerful than the commonly used single-marker analysis...
Quantile Regression for Competing Risks Data with Missing Cause of Failure [0.03%]
含失效原因缺失的竞险数据的分位回归方法研究
Yanqing Sun,Huixia Judy Wang,Peter B Gilbert
Yanqing Sun
This paper considers generalized linear quantile regression for competing risks data when the failure type may be missing. Two estimation procedures for the regression co-efficients, including an inverse probability weighted complete-case e...
WAVELET-BASED BAYESIAN ESTIMATION OF PARTIALLY LINEAR REGRESSION MODELSWITH LONG MEMORY ERRORS [0.03%]
基于小波的长记忆误差部分线性回归模型的贝叶斯估计方法
Kyungduk Ko,Leming Qu,Marina Vannucci
Kyungduk Ko
In this paper we focus on partially linear regression models with long memory errors, and propose a wavelet-based Bayesian procedure that allows the simultaneous estimation of the model parameters and the nonparametric part of the model. Em...
Huixia Judy Wang,Jianhui Zhou,Yi Li
Huixia Judy Wang
Quantile regression has emerged as a powerful tool in survival analysis as it directly links the quantiles of patients' survival times to their demographic and genomic profiles, facilitating the identification of important prognostic factor...
Model Checking Techniques for Assessing Functional Form Specifications in Censored Linear Regression Models [0.03%]
删失线性回归模型中检验函数形式设定的检验技术研究
Larry F León,Tianxi Cai
Larry F León
In this paper we develop model checking techniques for assessing functional form specifications of covariates in censored linear regression models. These procedures are based on a censored data analog to taking cumulative sums of "robust" r...
KERNEL-SMOOTHED CONDITIONAL QUANTILES OF CORRELATED BIVARIATE DISCRETE DATA [0.03%]
相关联的二维离散数据条件分位量的核光滑估计
Jan G De Gooijer,Ao Yuan
Jan G De Gooijer
Socio-economic variables are often measured on a discrete scale or rounded to protect confidentiality. Nevertheless, when exploring the effect of a relevant covariate on the outcome distribution of a discrete response variable, virtually al...
Jian Huang,Fengrong Wei,Shuangge Ma
Jian Huang
The semiparametric partially linear model allows flexible modeling of covariate effects on the response variable in regression. It combines the flexibility of nonparametric regression and parsimony of linear regression. The most important a...
Shujie Ma,Lijian Yang,Raymond J Carroll
Shujie Ma
Functional data analysis has received considerable recent attention and a number of successful applications have been reported. In this paper, asymptotically simultaneous confidence bands are obtained for the mean function of the functional...