Cause-Specific Hazard Regression for Competing Risks Data Under Interval Censoring and Left Truncation [0.03%]
区间截断和左截断下竞争风险数据的因果危害回归
Chenxi Li
Chenxi Li
Inference for cause-specific hazards from competing risks data under interval censoring and possible left truncation has been understudied. Aiming at this target, a penalized likelihood approach for a Cox-type proportional cause-specific ha...
A multiple imputation approach to the analysis of clustered interval-censored failure time data with the additive hazards model [0.03%]
带有加性风险模型的聚类区间截尾失效时间数据的多重插补分析方法研究
Ling Chen,Jianguo Sun,Chengjie Xiong
Ling Chen
Clustered interval-censored failure time data can occur when the failure time of interest is collected from several clusters and known only within certain time intervals. Regression analysis of clustered interval-censored failure time data ...
Normal-Gamma-Bernoulli Peak Detection for Analysis of Comprehensive Two-Dimensional Gas Chromatography Mass Spectrometry Data [0.03%]
综合二维气相色谱质谱数据分析的正态-伽玛-伯努利峰检测方法
Seongho Kim,Hyejeong Jang,Imhoi Koo et al.
Seongho Kim et al.
Compared to other analytical platforms, comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC×GC-MS) has much increased separation power for analysis of complex samples and thus is increasingly used in metabol...
Jan Gertheiss,Jeff Goldsmith,Ana-Maria Staicu
Jan Gertheiss
Non-Gaussian functional data are considered and modeling through functional principal components analysis (FPCA) is discussed. The direct extension of popular FPCA techniques to the generalized case incorrectly uses a marginal mean estimate...
Fadlalla G Elfadaly,Paul H Garthwaite,John R Crawford
Fadlalla G Elfadaly
Mahalanobis distance may be used as a measure of the disparity between an individual's profile of scores and the average profile of a population of controls. The degree to which the individual's profile is unusual can then be equated to the...
Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses [0.03%]
睡眠图中睡眠片段化的建模：快速可扩展离散状态、离散时间分析的一个实例
Bruce J Swihart,Naresh M Punjabi,Ciprian M Crainiceanu
Bruce J Swihart
Methods are introduced for the analysis of large sets of sleep study data (hypnograms) using a 5-state 20-transition-type structure defined by the American Academy of Sleep Medicine. Application of these methods to the hypnograms of 5598 su...
Exact confidence interval estimation for the Youden index and its corresponding optimal cut-point [0.03%]
Youden指数及其相应最优临界值的精确置信区间估计方法研究
Chin-Ying Lai,Lili Tian,Enrique F Schisterman
Chin-Ying Lai
In diagnostic studies, the receiver operating characteristic (ROC) curve and the area under the ROC curve are important tools in assessing the utility of biomarkers in discriminating between non-diseased and diseased populations. For classi...
Hao Hu,Yichao Wu,Weixin Yao
Hao Hu
Finite mixture models are useful tools and can be estimated via the EM algorithm. A main drawback is the strong parametric assumption about the component densities. In this paper, a much more flexible mixture model is considered, which assu...
Some tests for detecting trends based on the modified Baumgartner-Weiβ-Schindler statistics [0.03%]
一些基于修改后的Baumgartner-Weiβ-Schindler统计量检测趋势的检验方法
Guogen Shan,Changxing Ma,Alan D Hutson et al.
Guogen Shan et al.
We propose a modified nonparametric Baumgartner-Weiβ-Schindler test and investigate its use in testing for trends among K binomial populations. Exact conditional and unconditional approaches to p-value calculation are explored in conjuncti...
Partially Linear Single Index Cox Regression Model in Nested Case-Control Studies [0.03%]
嵌套情况对照研究中的部分线性单指标Cox模型
Shulian Shang,Mengling Liu,Anne Zeleniuch-Jacquotte et al.
Shulian Shang et al.
The nested case-control (NCC) design is widely used in epidemiologic studies as a cost-effective subcohort sampling method to study the association between a disease and its potential risk factors. NCC data are commonly analyzed using Thoma...