Application of potential outcomes to an intentional weight loss latent variable problem [0.03%]
潜在结果在减重问题中应用
Gary L Gadbury,Thidaporn Supapakorn,Christopher S Coffey et al.
Gary L Gadbury et al.
Studies that explore the link between weight loss among obese individuals and mortality have met with mixed results. One possible explanation is that total weight loss may have contributions from weight loss that is intentional and weight l...
Accurate and flexible power calculations on the spot: Applications to genomic research [0.03%]
灵活的现场准确功效计算及其在基因组研究中的应用
Hemant K Tiwari,Thomas Birkner,Ankur Moondan et al.
Hemant K Tiwari et al.
Often investigators need to calculate power to demonstrate feasibility of proposed genetic studies for grant proposals or simply to aid in their own study planning. Frequently, power can be easily calculated using a closed form formula. How...
Debashis Ghosh,Michael Sabel
Debashis Ghosh
A biomarker is defined to be a biological characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention. The use of bio...
Semiparametric Bayesian analysis of gene-environment interactions with error in measurement of environmental covariates and missing genetic data [0.03%]
度量误差和遗传数据缺失情况下的基因-环境交互作用的半参数贝叶斯分析
Iryna Lobach,Bani Mallick,Raymond J Carroll
Iryna Lobach
Case-control studies are widely used to detect gene-environment interactions in the etiology of complex diseases. Many variables that are of interest to biomedical researchers are difficult to measure on an individual level, e.g. nutrient i...
Stochastic deletion-insertion algorithm to construct dense linkage maps [0.03%]
用于构建密集遗传连锁图的随机删除插入算法
Jixiang Wu,Xiang-Yang Lou,Michael Gonda
Jixiang Wu
In this study, we proposed a stochastic deletion-insertion (SDI) algorithm for constructing large-scale linkage maps. This SDI algorithm was compared with three published approximation approaches, the seriation (SER), neighbor mapping (NM),...
A faster pedigree-based generalized multifactor dimensionality reduction method for detecting gene-gene interactions [0.03%]
一种基于谱系的广义多重维度约简法及其在检测基因-基因相互作用中的应用
Guo-Bo Chen,Jun Zhu,Xiang-Yang Lou
Guo-Bo Chen
We proposed a faster pedigree-based generalized multifactor dimensionality reduction algorithm, called PedG-MDR II (PII), to detect gene-gene interactions underlying complex traits. Inherited from our previous framework of PedGMDR (PI), PII...
Xiaoye Li,Hongyu Zhao
Xiaoye Li
High dimensional data, especially those emerging from genomics and proteomics studies, pose significant challenges to traditional classification algorithms because the performance of these algorithms may substantially deteriorate due to hig...
A joint model of longitudinal and competing risks survival data with heterogeneous random effects and outlying longitudinal measurements [0.03%]
具有异质随机效应和异常纵向测量的纵向数据和竞争风险生存数据联合模型
Xin Huang,Gang Li,Robert M Elashoff
Xin Huang
This article proposes a joint model for longitudinal measurements and competing risks survival data. The model consists of a linear mixed effects sub-model with t-distributed measurement errors for the longitudinal outcome, a proportional c...
Martha Skup
Martha Skup
Functional magnetic resonance imaging (fMRI) investigations of a longitudinal nature, where participants are scanned repeatedly over time and imaging data are obtained at more than one time-point, are essential to understanding functional c...
Robust neural network with applications to credit portfolio data analysis [0.03%]
稳健神经网络及其在信贷组合数据分析中的应用
Yijia Feng,Runze Li,Agus Sudjianto et al.
Yijia Feng et al.
In this article, we study nonparametric conditional quantile estimation via neural network structure. We proposed an estimation method that combines quantile regression and neural network (robust neural network, RNN). It provides good smoot...