EDGEWORTH CORRECTION FOR THE LARGEST EIGENVALUE IN A SPIKED PCA MODEL [0.03%]
spiked PCA模型中边缘worth校正的最大本征值
Jeha Yang,Iain M Johnstone
Jeha Yang
We study improved approximations to the distribution of the largest eigenvalue ℓ ^ of the sample covariance matrix of n zero-mean Gaussian observations in dimension p + 1. We assume that one population principal component has varianc...
SENSITIVITY ANALYSIS FOR UNMEASURED CONFOUNDING IN COARSE STRUCTURAL NESTED MEAN MODELS [0.03%]
粗糙结构嵌套均值模型中未测量的混杂因素的敏感性分析
Shu Yang,Judith J Lok
Shu Yang
Coarse Structural Nested Mean Models (SNMMs, Robins (2000)) and G-estimation can be used to estimate the causal effect of a time-varying treatment from longitudinal observational studies. However, they rely on an untestable assumption of no...
A DIRECT SEMIPARAMETRIC RECEIVER OPERATING CHARACTERISTIC CURVE REGRESSION WITH UNKNOWN LINK AND BASELINE FUNCTIONS [0.03%]
一种未知连接和基线函数的直接半参数接受者操作特征回归方法
Huazhen Lin,Xiao-Hua Zhou,Gang Li
Huazhen Lin
In this article, we study a direct receiver operating characteristic (ROC) curve regression model with completely unknown link and baseline functions. A semiparametric procedure is proposed to estimate both the parametric and non-parametric...
Smoothed Rank Regression for the Accelerated Failure Time Competing Risks Model with Missing Cause of Failure [0.03%]
具有缺失失败原因的加速失效时间竞争风险模型的平滑秩回归方法
Zhiping Qiu,Alan T K Wan,Yong Zhou et al.
Zhiping Qiu et al.
This paper examines the accelerated failure time competing risks model with missing cause of failure using the monotone class rank-based estimating equations approach. We handle the non-smoothness of the rank-based estimating equations usin...
Ya Su,Jill Reedy,Raymond J Carroll
Ya Su
This paper is dedicated to the memory of Peter G. Hall. It concerns a deceptively simple question: if one observes variables corrupted with measurement error of possibly very complex form, can one recreate asymptotically the clusters that w...
Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials [0.03%]
用于HIV预防试验的非忽略性缺失纵向二元反应数据的贝叶斯建模与推理方法
Jing Wu,Joseph G Ibrahim,Ming-Hui Chen et al.
Jing Wu et al.
Missing data are frequently encountered in longitudinal clinical trials. To better monitor and understand the progress over time, one must handle the missing data appropriately and examine whether the missing data mechanism is ignorable or ...
Functional Linear Regression Models for Nonignorable Missing Scalar Responses [0.03%]
非忽略缺失响应的函数线性回归模型
Tengfei Li,Fengchang Xie,Xiangnan Feng et al.
Tengfei Li et al.
As an important part of modern health care, medical imaging data, which can be regarded as densely sampled functional data, have been widely used for diagnosis, screening, treatment, and prognosis, such as finding breast cancer through mamm...
Asymptotic Behavior of Cox's Partial Likelihood and its Application to Variable Selection [0.03%]
Cox比例风险模型的部分似然及其在变量选择中的应用渐近性质
Runze Li,Jian-Jian Ren,Guangren Yang et al.
Runze Li et al.
For theoretical properties of variable selection procedures for Cox's model, we study the asymptotic behavior of partial likelihood for the Cox model. We find that the partial likelihood does not behave like an ordinary likelihood, whose sa...
A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials [0.03%]
缺失性假定偏离的敏感性分析的平均分值方法及其在随机对照试验中的应用
Ian R White,James Carpenter,Nicholas J Horton
Ian R White
Most analyses of randomised trials with incomplete outcomes make untestable assumptions and should therefore be subjected to sensitivity analyses. However, methods for sensitivity analyses are not widely used. We propose a mean score approa...
ON ESTIMATION OF THE OPTIMAL TREATMENT REGIME WITH THE ADDITIVE HAZARDS MODEL [0.03%]
带加性风险模型的最优治疗方案估计方法研究
Suhyun Kang,Wenbin Lu,Jiajia Zhang
Suhyun Kang
We propose a doubly robust estimation method for the optimal treatment regime based on an additive hazards model with censored survival data. Specifically, we introduce a new semiparametric additive hazard model which allows flexible baseli...