Non-Asymptotic Oracle Inequalities for the High-Dimensional Cox Regression via Lasso [0.03%]
高维Cox回归中的Lasso非渐近oracle不等式研究
Shengchun Kong,Bin Nan
Shengchun Kong
We consider finite sample properties of the regularized high-dimensional Cox regression via lasso. Existing literature focuses on linear models or generalized linear models with Lipschitz loss functions, where the empirical risk functions a...
Yongseok Park,John D Kalbfleisch,Jeremy M G Taylor
Yongseok Park
In this paper, we consider the problem of constructing confidence intervals (CIs) for G independent normal population means subject to linear ordering constraints. For this problem, CIs based on asymptotic distributions, likelihood ratio te...
Testing Overall and Subpopulation Treatment Effects with Measurement Errors [0.03%]
测量误差下的整体和子人群体治疗效应检验
Yanyuan Ma,Guosheng Yin
Yanyuan Ma
There is a growing interest in the discovery of important predictors from many potential biomarkers for therapeutic use. In particular, a biomarker has predictive value for treatment if the treatment is only effective for patients whose bio...
Liping Zhu,Mian Huang,Runze Li
Liping Zhu
This paper is concerned with quantile regression for a semiparametric regression model, in which both the conditional mean and conditional variance function of the response given the covariates admit a single-index structure. This semiparam...
CORRECTED SCORE WITH SIZABLE COVARIATE MEASUREMENT ERROR: PATHOLOGY AND REMEDY [0.03%]
具有较大协变量测量误差的校正分数：病理学与补救措施
Yijian Huang
Yijian Huang
Corrected score (Nakamura, 1990; Stefanski, 1989) is an important consistent functional modeling method for covariate measurement error in nonlinear regression. Although its pathological behaviors are known to exacerbate with increasing err...
Ning Hao,Yue Selena Niu,Heping Zhang
Ning Hao
Let Y1, …, Yn be a sequence whose underlying mean is a step function with an unknown number of the steps and unknown change points. The detection of the change points, namely the positions where the mean changes, is an important problem in...
Bin Nan,Jon A Wellner
Bin Nan
Case-cohort design, an outcome-dependent sampling design for censored survival data, is increasingly used in biomedical research. The development of asymptotic theory for a case-cohort design in the current literature primarily relies on co...
Semiparametric Accelerated Failure Time Model for Length-biased Data with Application to Dementia Study [0.03%]
长度偏差下的半参数加速失效时间模型及其在痴呆研究中的应用
Jing Ning,Jing Qin,Yu Shen
Jing Ning
A semiparametric accelerated failure time (AFT) model is proposed to evaluate the effects of risk factors on the unbiased failure times for the target population given the observed length-biased data. The analysis of length-biased data is c...
Yi Li,Lee Dicker,Sihai Dave Zhao
Yi Li
The Dantzig variable selector has recently emerged as a powerful tool for fitting regularized regression models. To our knowledge, most work involving the Dantzig selector has been performed with fully-observed response variables. This pape...
Power and Sample Size Calculations for Generalized Estimating Equations via Local Asymptotics [0.03%]
广义估计方程的局部渐近性功效和样本量计算方法
Zhigang Li,Ian W McKeague
Zhigang Li
We consider the problem of calculating power and sample size for tests based on generalized estimating equations (GEE), that arise in studies involving clustered or correlated data (e.g., longitudinal studies and sibling studies). Previous ...