A note on modeling placement values in the analysis of receiver operating characteristic curves [0.03%]
论在接收者操作特性曲线分析中建模置信值的问题
Zhen Chen,Soutik Ghosal
Zhen Chen
Recent advances in receiver operating characteristic (ROC) curve analyses advocate modeling of placement value (PV), a quantity that measures the position of diseased test scores relative to the healthy population. Compared to traditional a...
Dynamic prediction using joint models of longitudinal and recurrent event data: A Bayesian perspective [0.03%]
基于联合模型的纵向数据和复发事件动态预测:贝叶斯方法视角
Xuehan Ren,Jue Wang,Sheng Luo
Xuehan Ren
In cardiovascular disease (CVD) studies, the events of interest may be recurrent (multiple occurrences from the same individual). During the study follow-up, longitudinal measurements are often available and these measurements are highly pr...
The importance of having a conceptual stage when reporting non-randomized studies [0.03%]
报告非随机化研究时拥有概念阶段的重要性
M-A C Bind,D B Rubin
M-A C Bind
Formal guidelines for statistical reporting of non-randomized studies are important for journals that publish results of such studies. Although it is gratifying to see some journals providing guidelines for statistical reporting, we feel th...
Moving from two- to multi-way interactions among binary risk factors on the additive scale [0.03%]
从二元风险因素的两两交互到多元交互在加性尺度上研究風險因素的二元交互作用到多变量交互作用
Michail Katsoulis,Manuel Gomes,Christina Bamia
Michail Katsoulis
Many studies have focused on investigating deviations from additive interaction of two dichotomous risk factors on a binary outcome. There is, however, a gap in the literature with respect to interactions on the additive scale of >2 risk fa...
Chunhua Weng
Chunhua Weng
Clinical data is the staple of modern learning health systems. It promises to accelerate biomedical discovery and improves the efficiency of clinical and translational research but is also fraught with significant data quality issues. This ...
Kehao Zhu,Ying Huang,Xiao-Hua Zhou
Kehao Zhu
There is a growing interest in development of statistical methods for personalized medicine or precision medicine, especially for deriving optimal individualized treatment rules (ITRs). An ITR recommends a patient to a treatment based on th...
Application of Concordance Probability Estimate to Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease [0.03%]
应用一致性概率估计预测轻度认知障碍向阿尔茨海默病转化
Xiaoxia Han,Yilong Zhang,Yongzhao Shao;Alzheimer’s Disease Neuroimaging Initiative
Xiaoxia Han
Subjects with mild cognitive impairment (MCI) have a substantially increased risk of developing dementia due to Alzheimer's disease (AD). Identifying MCI subjects who have high progression risk to AD is important in clinical management. Exi...
Madan Gopal Kundu,Jaroslaw Harezlak
Madan Gopal Kundu
Longitudinal changes in a population of interest are often heterogeneous and may be influenced by a combination of baseline factors. In such cases, traditional linear mixed effects models (Laird and Ware, 1982) assuming common parametric fo...
Semiparametric Additive Model for Estimating Risk Difference in Multicenter Studies [0.03%]
多中心研究中估计风险差异的半参数加法模型
Donglin Zeng,Noorie Hyun,Jianwen Cai
Donglin Zeng
Many cancer studies are conducted in multiple centers. While they have the advantage of more patients and larger population, center-to-center heterogeneity could be significant such that it cannot be ignored in analysis. In this paper, we p...
The Kaplan-Meier Method for Estimating and Comparing Proportions in a Randomized Controlled Trial with Dropouts [0.03%]
随机对照试验中缺失数据的比例估计和比较的Kaplan-Meier方法
Jarcy Zee,Sharon X Xie
Jarcy Zee
We propose a method for estimating and comparing proportions of study participants who reached an event of interest during a randomized controlled trial. Standard methods for estimating this proportion include the intent-to-treat method, wh...