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pro vyhledávání: '"Wu, Chong"'
This paper proposes a novel propensity score weighting analysis. We define two sufficient and necessary conditions for a function of the covariates to be the propensity score. The first is "local balance", which ensures the conditional independence o
Externí odkaz:
http://arxiv.org/abs/2404.04794
Mediation analysis is a powerful tool for studying causal pathways between exposure, mediator, and outcome variables of interest. While classical mediation analysis using observational data often requires strong and sometimes unrealistic assumptions,
Externí odkaz:
http://arxiv.org/abs/2312.10563
Autor:
Zhao, Chen, Su, Kuan-Jui, Wu, Chong, Cao, Xuewei, Sha, Qiuying, Li, Wu, Luo, Zhe, Qin, Tian, Qiu, Chuan, Zhao, Lan Juan, Liu, Anqi, Jiang, Lindong, Zhang, Xiao, Shen, Hui, Zhou, Weihua, Deng, Hong-Wen
Background: Missing data is a common challenge in mass spectrometry-based metabolomics, which can lead to biased and incomplete analyses. The integration of whole-genome sequencing (WGS) data with metabolomics data has emerged as a promising approach
Externí odkaz:
http://arxiv.org/abs/2310.07990
There has been a recent emphasis on integrating physical models and deep neural networks (DNNs) for SAR target recognition, to improve performance and achieve a higher level of physical interpretability. The attributed scattering center (ASC) paramet
Externí odkaz:
http://arxiv.org/abs/2309.15697
In the past decade, the increased availability of genome-wide association studies summary data has popularized Mendelian Randomization (MR) for conducting causal inference. MR analyses, incorporating genetic variants as instrumental variables, are kn
Externí odkaz:
http://arxiv.org/abs/2309.04957
Developments in genome-wide association studies and the increasing availability of summary genetic association data have made the application of two-sample Mendelian Randomization (MR) with summary data increasingly popular. Conventional two-sample M
Externí odkaz:
http://arxiv.org/abs/2302.10470
In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting personalized medicine. The main goals of analyzing treatment effect heterogeneity include estimating treatment effects in clinically relevant subgrou
Externí odkaz:
http://arxiv.org/abs/2211.14671
Sign Language (SL), as the mother tongue of the deaf community, is a special visual language that most hearing people cannot understand. In recent years, neural Sign Language Translation (SLT), as a possible way for bridging communication gap between
Externí odkaz:
http://arxiv.org/abs/2211.00526
Convolutional neural networks (CNNs) are usually used as a backbone to design methods in biomedical image segmentation. However, the limitation of receptive field and large number of parameters limit the performance of these methods. In this paper, w
Externí odkaz:
http://arxiv.org/abs/2209.12764
There have been increased concerns that the use of statins, one of the most commonly prescribed drugs for treating coronary artery disease, is potentially associated with the increased risk of new-onset type II diabetes (T2D). Nevertheless, to date,
Externí odkaz:
http://arxiv.org/abs/2205.06960