Comparing statistical methods for removing seasonal variation from vitamin D measurements in case-control studies [0.03%]
比较案例对照研究中从维生素D测量值中去除季节变化的统计方法
Hong Zhang,Jiyoung Ahn,Kai Yu
Hong Zhang
Vitamin D deficiency has been shown to be associated with multiple clinical outcomes, including osteoporosis, multiple sclerosis and colorectal cancer. In studies of vitamin D effect on disease outcome, vitamin D status is usually measured ...
Yufeng Liu,Yichao Wu,Qinying He
Yufeng Liu
The Support Vector Machines (SVM) has been an important classification technique in both machine learning and statistics communities. The robust SVM is an improved version of the SVM so that the resulting classifier can be less sensitive to...
Protein quantitation using iTRAQ: Review on the sources of variations and analysis of nonrandom missingness [0.03%]
iTRAQ蛋白定量中的变异来源及其非随机缺失分析
Ruiyan Luo,Hongyu Zhao
Ruiyan Luo
As a technique that allows simultaneous quantitation of proteins in multiple samples, iTRAQ (isobaric Tags for Relative and Absolute Quantitation) has gained increased interest and applications in proteomics research. Despite its success, i...
Daniela M Witten
Daniela M Witten
We consider the problem of performing unsupervised learning in the presence of outliers - that is, observations that do not come from the same distribution as the rest of the data. It is known that in this setting, standard approaches for u...
Statistical Methods for Proteomic Biomarker Discovery based on Feature Extraction or Functional Modeling Approaches [0.03%]
基于特征提取或功能建模方法的蛋白质组生物标志物发现的统计方法
Jeffrey S Morris
Jeffrey S Morris
In recent years, developments in molecular biotechnology have led to the increased promise of detecting and validating biomarkers, or molecular markers that relate to various biological or medical outcomes. Proteomics, the direct study of p...
Determination of proportionality in two-part models and analysis of Multi-Ethnic Study of Atherosclerosis (MESA) [0.03%]
两部分模型中的比例性判定及动脉粥样硬化多种族研究(MESA)数据分析
Anna Liu,Richard Kronmal,Xiaohua Zhou et al.
Anna Liu et al.
In MESA (Multi-Ethnic Study of Atherosclerosis), it is of interest to model the development and progression of CAC (coronary artery calcium). With about half of the CAC scores equal to zero and the rest continuously distributed, semiparamet...
Jichun Xie,T Tony Cai,John Maris et al.
Jichun Xie et al.
This paper considers the problem of optimal false discovery rate control when the test statistics are dependent. An optimal joint oracle procedure, which minimizes the false non-discovery rate subject to a constraint on the false discovery ...
Cosine series representation of 3D curves and its application to white matter fiber bundles in diffusion tensor imaging [0.03%]
余弦级数表示的三维曲线及其在扩散张量成像中白质纤维束中的应用研究
Moo K Chung,Nagesh Adluru,Jee Eun Lee et al.
Moo K Chung et al.
We present a novel cosine series representation for encoding fiber bundles consisting of multiple 3D curves. The coordinates of curves are parameterized as coefficients of cosine series expansion. We address the issue of registration, avera...
Bayesian decision analysis for choosing between diagnostic/prognostic prediction procedures [0.03%]
用于选择诊断/预后预测程序的贝叶斯决策分析
John Kornak,Ying Lu
John Kornak
New diagnostic procedures and prognostic markers are continually being developed for a wide range of medical complaints. Medical institutions are therefore regularly faced with the decision as to whether to replace an existing procedure wit...
False-Negative-Rate Based Approach for Selecting Top Single-Nucleotide Polymorphisms in the First Stage of a Two-Stage Genome-Wide Association Study [0.03%]
基于假阴性率的两阶段全基因组关联研究第一阶段优选单核苷酸多态性的方法
Zhuying Huang,Jian Wang,Chih-Chieh Wu et al.
Zhuying Huang et al.
Genome-wide association (GWA) studies, where hundreds of thousands of single-nucleotide polymorphisms (SNPs) are tested simultaneously, are becoming popular for identifying disease loci for common diseases. Most commonly, a GWA study involv...