Accurate genome-scale percentage DNA methylation estimates from microarray data [0.03%]
从微阵列数据精确估计基因组范围内的DNA甲基化百分比
Martin J Aryee,Zhijin Wu,Christine Ladd-Acosta et al.
Martin J Aryee et al.
DNA methylation is a key regulator of gene function in a multitude of both normal and abnormal biological processes, but tools to elucidate its roles on a genome-wide scale are still in their infancy. Methylation sensitive restriction enzym...
Joint estimation of the basic reproduction number and generation time parameters for infectious disease outbreaks [0.03%]
同时估计传染病暴发的基本再生数和世代时间参数
Jamie T Griffin,Tini Garske,Azra C Ghani et al.
Jamie T Griffin et al.
The basic reproduction number is a key parameter determining whether an infectious disease will persist. Its counterpart over time, the effective reproduction number, is of value in assessing in real time whether interventions have brought ...
Comparative Study
Biostatistics (Oxford, England). 2011 Apr;12(2):303-12. DOI:10.1093/biostatistics/kxq058 2011
Estimation and selection in high-dimensional genomic studies for developing molecular diagnostics [0.03%]
高维基因组研究中的估计与选择：用于开发分子诊断的方法
Shigeyuki Matsui,Hisashi Noma
Shigeyuki Matsui
In the development of molecular diagnostics, the main objective in high-dimensional genomic studies such as DNA microarray studies is to screen out genes strongly associated with clinical phenotypes to significantly improve diagnostic capab...
Model structure analysis to estimate basic immunological processes and maternal risk for parvovirus B19 [0.03%]
模型结构分析估算基础免疫过程和B19 parvovirus的产妇风险
Nele Goeyvaerts,Niel Hens,Marc Aerts et al.
Nele Goeyvaerts et al.
After a steep monotone rise with age, the seroprevalence profiles for human parvovirus B19 (PVB19) display a decrease or plateau between the ages of 20 and 40, in each of 5 European countries. We investigate whether this phenomenon is induc...
A structural mean model to allow for noncompliance in a randomized trial comparing 2 active treatments [0.03%]
允许两种主动治疗随机对照试验中受试者不服从的结构平均模型
Krista Fischer,Els Goetghebeur,Bernard Vrijens et al.
Krista Fischer et al.
We propose a structural mean modeling approach to obtain compliance-adjusted estimates for treatment effects in a randomized-controlled trial comparing 2 active treatments. The model relates an individual's observed outcome to his or her co...
Inference on treatment effects from a randomized clinical trial in the presence of premature treatment discontinuation: the SYNERGY trial [0.03%]
SYNERGY试验中提前停止治疗的随机临床试验对疗效的影响及其推论
Min Zhang,Anastasios A Tsiatis,Marie Davidian et al.
Min Zhang et al.
The Superior Yield of the New Strategy of Enoxaparin, Revascularization, and GlYcoprotein IIb/IIIa inhibitors (SYNERGY) was a randomized, open-label, multicenter clinical trial comparing 2 anticoagulant drugs on the basis of time-to-event e...
A composite likelihood approach to the analysis of longitudinal clonal data on multitype cellular systems under an age-dependent branching process [0.03%]
基于年龄依赖分支过程的多类型细胞系统的纵向克隆数据分析的复合似然方法
Rui Chen,Ollivier Hyrien,Mark Noble et al.
Rui Chen et al.
A recurrent statistical problem in cell biology is to draw inference about cell kinetics from observations collected at discrete time points. We investigate this problem when multiple cell clones are observed longitudinally over time. The t...
Marker selection via maximizing the partial area under the ROC curve of linear risk scores [0.03%]
基于ROC曲线部分区域下面积最大的线性风险评分标志物选择方法
Zhanfeng Wang,Yuan-Chin Ivan Chang
Zhanfeng Wang
Rather than viewing receiver operating characteristic (ROC) curves directly to compare the performances of diagnostic methods, the whole and the partial areas under the ROC curve (area under the ROC curve [AUC] and partial area under the RO...
Constrained inference in mixed-effects models for longitudinal data with application to hearing loss [0.03%]
纵向数据混合效应模型的限制推理及其在听力损失方面的应用
Ori Davidov,Sophia Rosen
Ori Davidov
In medical studies, endpoints are often measured for each patient longitudinally. The mixed-effects model has been a useful tool for the analysis of such data. There are situations in which the parameters of the model are subject to some re...
Arvid Sjölander,Stijn Vansteelandt
Arvid Sjölander
The attributable fraction (AF) is a widely used measure to assess the impact of an exposure on a disease. It is commonly estimated through maximum likelihood, which requires a regression model for the outcome. Recently, it was demonstrated ...