A SPARSE REDUCED RANK FRAMEWORK FOR GROUP ANALYSIS OF FUNCTIONAL NEUROIMAGING DATA [0.03%]
用于功能神经影像数据分析的稀疏降秩框架的群体分析
Mihye Ahn,Haipeng Shen,Weili Lin et al.
Mihye Ahn et al.
In spatial-temporal neuroimaging studies, there is an evolving literature on the analysis of functional imaging data in order to learn the intrinsic functional connectivity patterns among different brain regions. However, there are only few...
INFERENCE FOR INDIVIDUAL-LEVEL MODELS OF INFECTIOUS DISEASES IN LARGE POPULATIONS [0.03%]
大型人群中传染病个体水平模型的统计推断
Rob Deardon,Stephen P Brooks,Bryan T Grenfell et al.
Rob Deardon et al.
Individual Level Models (ILMs), a new class of models, are being applied to infectious epidemic data to aid in the understanding of the spatio-temporal dynamics of infectious diseases. These models are highly flexible and intuitive, and can...
Estimation of Ordinary Differential Equation Parameters Using Constrained Local Polynomial Regression [0.03%]
基于约束局部多项式回归的常微分方程参数估计方法研究
A Adam Ding,Hulin Wu
A Adam Ding
We propose a new method to use a constrained local polynomial regression to estimate the unknown parameters in ordinary differential equation models with a goal of improving the smoothing-based two-stage pseudo-least squares estimate. The e...
NETWORK-REGULARIZED HIGH-DIMENSIONAL COX REGRESSION FOR ANALYSIS OF GENOMIC DATA [0.03%]
用于基因组数据分析的网络正则化高维Cox回归方法
Hokeun Sun,Wei Lin,Rui Feng et al.
Hokeun Sun et al.
We consider estimation and variable selection in high-dimensional Cox regression when a prior knowledge of the relationships among the covariates, described by a network or graph, is available. A limitation of the existing methodology for s...
REGRESSION ANALYSIS OF CASE II INTERVAL-CENSORED FAILURE TIME DATA WITH THE ADDITIVE HAZARDS MODEL [0.03%]
加性风险模型下案例二区间截尾生存数据的回归分析
Lianming Wang,Jianguo Sun,Xingwei Tong
Lianming Wang
Interval-censored failure time data often arise in clinical trials and medical follow-up studies, and a few methods have been proposed for their regression analysis using various regression models (Finkelstein (1986); Huang (1996); Lin, Oak...
R Song,W Wang,D Zeng et al.
R Song et al.
A dynamic treatment regimen incorporates both accrued information and long-term effects of treatment from specially designed clinical trials. As these trials become more and more popular in conjunction with longitudinal data from clinical s...
Noah Simon,Robert Tibshirani
Noah Simon
We re-examine the original Group Lasso paper of Yuan and Lin (2007). The form of penalty in that paper seems to be designed for problems with uncorrelated features, but the statistical community has adopted it for general problems with corr...
Zhao Chen,Runze Li,Yan Li
Zhao Chen
Varying coefficient model has been popular in the literature. In this paper, we propose a profile least squares estimation procedure to its regression coefficients when its random error is an auto-regressive (AR) process. We further study t...
Varying Coefficient Models for Sparse Noise-contaminated Longitudinal Data [0.03%]
噪声污染的稀疏纵向数据的变系数模型
Damla Şentürk,Danh V Nguyen
Damla Şentürk
In this paper we propose a varying coefficient model for highly sparse longitudinal data that allows for error-prone time-dependent variables and time-invariant covariates. We develop a new estimation procedure, based on covariance represen...
SEQUENTIAL TESTING OF MEASUREMENT ERRORS IN INTER-RATER RELIABILITY STUDIES [0.03%]
测量误差的序贯检验在评定者间信度研究中的应用
Mei Jin,Aiyi Liu,Zhen Chen et al.
Mei Jin et al.
Inter-rater reliability is usually assessed by means of the intraclass correlation coefficient. Using two-way analysis of variance to model raters and subjects as random effects, we derive group sequential testing procedures for the design ...