Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Kecheng Wei"'
Autor:
Qiaoxi Liu, Wenjie Xu, Hao Huang, Hongwei Shou, Jingxiang Low, Yitao Dai, Wanbing Gong, Youyou Li, Delong Duan, Wenqing Zhang, Yawen Jiang, Guikai Zhang, Dengfeng Cao, Kecheng Wei, Ran Long, Shuangming Chen, Li Song, Yujie Xiong
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Hydrogen spillover widely occurs in a variety of hydrogen-involved chemical and physical processes. Recently, metal–organic frameworks have been extensively explored for their integration with noble metals toward various hydrogen-related a
Externí odkaz:
https://doaj.org/article/8ca0fe18c2ee40528360a3bbd844ff0e
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background When estimating the causal effect on survival outcomes in observational studies, it is necessary to adjust confounding factors due to unbalanced covariates between treatment and control groups. There is no study on multiple robust
Externí odkaz:
https://doaj.org/article/9913bfec99234bf9bfb006419cee6b40
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background In observational studies, double robust or multiply robust (MR) approaches provide more protection from model misspecification than the inverse probability weighting and g-computation for estimating the average treatment effect (A
Externí odkaz:
https://doaj.org/article/54b5298104d841f7ac05e8d8f4b0e58c
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background When data is distributed across multiple sites, sharing information at the individual level among sites may be difficult. In these multi-site studies, propensity score model can be fitted with data within each site or data from al
Externí odkaz:
https://doaj.org/article/282caaf50a484f66a0a2cc78bf5e668d
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
Abstract Background Estimating the average effect of a treatment, exposure, or intervention on health outcomes is a primary aim of many medical studies. However, unbalanced covariates between groups can lead to confounding bias when using observation
Externí odkaz:
https://doaj.org/article/fe406fe12a754692b7636613d543c1d1
Publikováno v:
iScience, Vol 24, Iss 3, Pp 102172- (2021)
Summary: Electrosynthesis is to use electricity to drive chemical reactions for chemical synthesis and is potentially a green approach to fuel and energy sustainability. Nanostructured catalysts play an important role in promoting electrochemical rea
Externí odkaz:
https://doaj.org/article/fc54754f429e4ea093eaf81694c756e3
Publikováno v:
The Journal of Engineering (2019)
Unmanned aerial vehicle (UAV) is a power-driven aircraft that is unmanned and reusable. The purpose of this study is to accurately estimate the state of charge (SOC) of lithium-ion batteries for UAVs. A support vector machine (SVM) method, SVM is a t
Externí odkaz:
https://doaj.org/article/2709480239724feeb54b092e9ec7789e
Autor:
Zichao Wei, null Kayceety Mullaj, Aleisha Price, Kecheng Wei, Qiang Luo, Srinivas Thanneeru, Shouheng Sun, Jie He
Publikováno v:
ACS Applied Materials & Interfaces. 14:55227-55237
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97741f193b734709f69cb40a64e29eb6
https://doi.org/10.1021/acsami.2c17706
https://doi.org/10.1021/acsami.2c17706
Publikováno v:
Journal of Statistical Computation and Simulation. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69161b3d0097cd41376ec0b09f73bd0f
https://doi.org/10.1080/00949655.2022.2143501
https://doi.org/10.1080/00949655.2022.2143501
Publikováno v:
Statistics in Medicine. 41:2822-2839
Identifying subpopulations that may be sensitive to the specific treatment is an important step toward precision medicine. On the other hand, longitudinal data with dropouts is common in medical research, and subgroup analysis for this data type is s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dfa66a6c50f2fd5d1efd56da1165c9a
https://doi.org/10.1002/sim.9386
https://doi.org/10.1002/sim.9386