Classification of ADNI PET Images via Regularized 3D Functional Data Analysis [0.03%]
基于正则化的3D函数数据分析的ADNI数据集PET图像分类研究
Xuejing Wang,Bin Nan,Ji Zhu et al.
Xuejing Wang et al.
We propose a penalized Haar wavelet approach for the classification of 3D brain images in the framework of functional data analysis, which treats each entire 3D brain image as a single functional input thus automatically takes into account ...
Multi-state models and missing covariate data: Expectation-Maximization algorithm for likelihood estimation [0.03%]
多状态模型和缺失协变量数据：用于可能性估计的期望最大化算法
Wenjie Lou,Lijie Wan,Erin L Abner et al.
Wenjie Lou et al.
Multi-state models have been widely used to analyze longitudinal event history data obtained in medical and epidemiological studies. The tools and methods developed recently in this area require completely observed data. However, missing da...
Linear Combinations of Multiple Outcome Measures to Improve the Power of Efficacy Analysis ---Application to Clinical Trials on Early Stage Alzheimer Disease [0.03%]
线性组合的多重结果测量以提高疗效分析的有效性——在早期阿尔茨海默病临床试验中的应用
Chengjie Xiong,Jingqin Luo,John C Morris et al.
Chengjie Xiong et al.
Modern clinical trials on Alzheimer disease (AD) focus on the early symptomatic stage or even the preclinical stage. Subtle disease progression at the early stages, however, poses a major challenge in designing such clinical trials. We prop...
Validity and power of minimization algorithm in longitudinal analysis of clinical trials [0.03%]
最小化算法在临床试验纵向分析中的有效性和功效研究
Hua Weng,Randall Bateman,John C Morris et al.
Hua Weng et al.
We studied the validity of longitudinal statistical inferences of clinical trials using minimization, a dynamic randomization algorithm designed to minimize treatment imbalance for prognostic factors. Repeated measures analysis of covarianc...