Transfer Learning in Genome-Wide Association Studies with Knockoffs [0.03%]
基因组-wide关联研究中的迁移学习与knockoff方法
Shuangning Li,Zhimei Ren,Chiara Sabatti et al.
Shuangning Li et al.
This paper presents and compares alternative transfer learning methods that can increase the power of conditional testing via knockoffs by leveraging prior information in external data sets collected from different populations or measuring ...
Ratio-cum-product Type Estimators for Rare and Hidden Clustered Population [0.03%]
稀有和隐藏聚集群体的比率-乘积型估计量
Rajesh Singh,Rohan Mishra
Rajesh Singh
The use of multi-auxiliary variables helps in increasing the precision of the estimators, especially when the population is rare and hidden clustered. In this article, four ratio-cum-product type estimators have been proposed using two auxi...
Mortality Comparisons 'At a Glance': A Mortality Concentration Curve and Decomposition Analysis for India [0.03%]
一目了然的死亡率比较——印度的死亡率集中曲线和分解分析
John Creedy,S Subramanian
John Creedy
This paper uses the concept of the Mortality Concentration Curve (M-Curve), which plots the cumulative proportion of deaths against the corresponding cumulative proportion of the population (arranged in ascending order of age), and associat...
Bingling Wang,Sudipto Banerjee,Rangan Gupta
Bingling Wang
Spatial process models are being increasingly employed for analyzing data available at geocoded locations. In this article, we build a hierarchical framework with multivariate spatial processes, where the outcomes are "mixed" in the sense t...
Shape Detection using Semi-parametric Shape-Restricted Mixed Effects Regression Spline with Applications [0.03%]
半参数形状受限混合效应回归样条的形体识别及其应用研究
Qing Yin,Xiaoshuang Xun,Shyamal D Peddada et al.
Qing Yin et al.
Linear models are widely used in the field of epidemiology to model the relationship between placental-fetal hormone and fetal/infant outcome. When researchers suspect curvilinear relationship exists, some nonparametric techniques, includin...
A shared spatial model for multivariate extreme-valued binary data with non-random missingness [0.03%]
具有非随机缺失性的多元极值二元数据的共享空间模型
Xiaoyue Zhao,Lin Zhang,Dipankar Bandyopadhyay
Xiaoyue Zhao
Clinical studies and trials on periodontal disease (PD) generate a large volume of data collected at various tooth locations of a subject. However, they present a number of statistical complexities. When our focus is on understanding the ex...
A Two-sample Nonparametric Test for Circular Data- its Exact Distribution and Performance [0.03%]
圆周数据的两样本非参数检验--精确分布与性能分析
S Rao Jammalamadaka,Stéphane Guerrier,Vasudevan Mangalam
S Rao Jammalamadaka
A nonparametric test labelled 'Rao Spacing-frequencies test' is explored and developed for testing whether two circular samples come from the same population. Its exact distribution and performance relative to comparable tests such as the W...
COVID-19: Optimal Design of Serosurveys for Disease Burden Estimation [0.03%]
COVID-19：用于疾病负担估计的最佳血清流行病学调查设计
Siva Athreya,Giridhara R Babu,Aniruddha Iyer et al.
Siva Athreya et al.
We provide a methodology by which an epidemiologist may arrive at an optimal design for a survey whose goal is to estimate the disease burden in a population. For serosurveys with a given budget of C rupees, a specified set of tests with co...
Poisson Counts, Square Root Transformation and Small Area Estimation: Square Root Transformation [0.03%]
泊松计数，平方根变换和小区域估计：平方根变换法
Malay Ghosh,Tamal Ghosh,Masayo Y Hirose
Malay Ghosh
The paper intends to serve two objectives. First, it revisits the celebrated Fay-Herriot model, but with homoscedastic known error variance. The motivation comes from an analysis of count data, in the present case, COVID-19 fatality for all...
Statistical Modeling of Longitudinal Data with Non-ignorable Non-monotone Missingness with Semiparametric Bayesian and Machine Learning Components [0.03%]
具有半参数贝叶斯和机器学习组件的非忽略非单调缺失纵向数据统计建模
Yu Cao,Nitai D Mukhopadhyay
Yu Cao
In longitudinal studies, outcomes are measured repeatedly over time and it is common that not all the patients will be measured throughout the study. For example patients can be lost to follow-up (monotone missingness) or miss one or more v...