Binyan Jiang,Rui Song,Jialiang Li et al.
Binyan Jiang et al.
Estimating optimal individualized treatment rules (ITRs) in single or multi-stage clinical trials is one key solution to personalized medicine and has received more and more attention in statistical community. Recent development suggests th...
NONPARAMETRIC INFERENCE FOR MARKOV PROCESSES WITH MISSING ABSORBING STATE [0.03%]
具有缺失吸收状态的马尔可夫过程的非参数推断
Giorgos Bakoyannis,Ying Zhang,Constantin T Yiannoutsos
Giorgos Bakoyannis
This paper deals with the issue of nonparametric estimation of the transition probability matrix of a non-homogeneous Markov process with finite state space and partially observed absorbing state. We impose a missing at random assumption an...
SEMIPARAMETRIC REGRESSION MODEL FOR RECURRENT BACTERIAL INFECTIONS AFTER HEMATOPOIETIC STEM CELL TRANSPLANTATION [0.03%]
造血干细胞移植后复发性细菌感染的半参数回归模型
Chi Hyun Lee,Chiung-Yu Huang,Todd E DeFor et al.
Chi Hyun Lee et al.
Patients who undergo hematopoietic stem cell transplantation (HSCT) often experience multiple bacterial infections during the early post-transplant period. In this article, we consider a semiparametric regression model that correlates patie...
Estimation of Area Under the ROC Curve under nonignorable verification bias [0.03%]
非忽略核证偏差下的ROC曲线下面积估计
Wenbao Yu,Jae Kwang Kim,Taesung Park
Wenbao Yu
The Area Under the Receiving Operating Characteristic Curve (AUC) is frequently used for assessing the overall accuracy of a diagnostic marker. However, estimation of AUC relies on knowledge of the true outcomes of subjects: diseased or non...
Nils Lid Hjort,Ian W McKeague,Ingrid Van Keilegom
Nils Lid Hjort
This paper develops a hybrid likelihood (HL) method based on a compromise between parametric and nonparametric likelihoods. Consider the setting of a parametric model for the distribution of an observation Y with parameter θ. Suppose there...
INFERENCE FOR LOW-DIMENSIONAL COVARIATES IN A HIGH-DIMENSIONAL ACCELERATED FAILURE TIME MODEL [0.03%]
高维加速失效时间模型中低维协变量的统计推断
Hao Chai,Qingzhao Zhang,Jian Huang et al.
Hao Chai et al.
Data with high-dimensional covariates are now commonly encountered. Compared to other types of responses, research on high-dimensional data with censored survival responses is still relatively limited, and most of the existing studies have ...
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...