Feifang Hu,Xiaoqing Ye,Li-Xin Zhang
Feifang Hu
Simultaneously investigating multiple treatments in a single study achieves considerable efficiency in contrast to the traditional two-arm trials. Balancing treatment allocation for influential covariates has become increasingly important i...
The spreading frontiers of avian-human influenza described by the free boundary [0.03%]
自由边界条件下禽流感传播的前沿分析
ChengXia Lei,KwangIk Kim,ZhiGui Lin
ChengXia Lei
In this paper, a reaction-diffusion system is proposed to investigate avian-human influenza. Two free boundaries are introduced to describe the spreading frontiers of the avian influenza. The basic reproduction numbers r 0 F (t) and R 0 F (...
HuaZhen Lin,Paul S F Yip,Richard M Huggins
HuaZhen Lin
Predicting the future course of an epidemic depends on being able to estimate the current numbers of infected individuals. However, while back-projection techniques allow reliable estimation of the numbers of infected individuals in the mor...
Model-Free Conditional Independence Feature Screening For Ultrahigh Dimensional Data [0.03%]
无模型的条件独立变量筛选方法及其在超高维数据中的应用
Luheng Wang,Jingyuan Liu,Yong Li et al.
Luheng Wang et al.
Feature screening plays an important role in ultrahigh dimensional data analysis. This paper is concerned with conditional feature screening when one is interested in detecting the association between the response and ultrahigh dimensional ...
Liu JingYuan,Zhong Wei,L I RunZe
Liu JingYuan
High-dimensional data have frequently been collected in many scientific areas including genomewide association study, biomedical imaging, tomography, tumor classifications, and finance. Analysis of high-dimensional data poses many challenge...
Hong Li,Constantine Gatsonis
Hong Li
Surveillance to detect cancer recurrence is an important part of care for cancer survivors. In this paper we discuss the design of optimal strategies for early detection of disease recurrence based on each patient's distinct biomarker traje...
Robust estimation for partially linear models with large-dimensional covariates [0.03%]
具有大维协变量的 partly线性模型的鲁棒估计
LiPing Zhu,RunZe Li,HengJian Cui
LiPing Zhu
We are concerned with robust estimation procedures to estimate the parameters in partially linear models with large-dimensional covariates. To enhance the interpretability, we suggest implementing a noncon-cave regularization method in the ...
A regression approach to ROC surface, with applications to Alzheimer's disease [0.03%]
用于阿尔茨海默病研究的ROC曲面回归方法及应用
Jialiang Li,Andrew Xiaohua Zhou,Jason P Fine
Jialiang Li
We consider the estimation of three-dimensional ROC surfaces for continuous tests given covariates. Three way ROC analysis is important in our motivating example where patients with Alzheimer's disease are usually classified into three cate...