CONFOUNDING

作品数:35被引量:19H指数:2
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相关领域:医药卫生更多>>
相关作者:张莹卢红敏徐宝文周毓明陈磊更多>>
相关机构:南开大学东南大学首都医科大学附属北京儿童医院首都医科大学更多>>
相关期刊:《Quantitative Biology》《Infectious Disease Modelling》《Science China Mathematics》《Acta Mathematicae Applicatae Sinica》更多>>
相关基金:国家自然科学基金国家教育部博士点基金广东省自然科学基金更多>>
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Cross-Entropy Loss for Recommending Efficient Fold-Over Technique被引量:1
《Journal of Systems Science & Complexity》2021年第1期402-439,共38页WENG Lin-Chen ELSAWAH A M FANG Kai-Tai 
supported by the Beijing Normal University-Hong Kong Baptist University United International College under Grant Nos.R201810,R201912 and R202010;the Zhuhai Premier Discipline Grant。
Due to the limited resources and budgets in many real-life projects, it is unaffordable to use full factorial experimental designs and thus fractional factorial(FF) designs are used instead. The aliasing of factorial ...
关键词:ABERRATION CONFOUNDING CROSS-ENTROPY dictionary ordering fold-over Hamming distance loss function uniformity 
On Construction of Optimal Two-Level Designs with Multi Block Variables被引量:1
《Journal of Systems Science & Complexity》2018年第3期773-786,共14页ZHAO Yuna ZHAO Shengli LIU Minqian 
supported by the National Natural Science Foundation of China under Grant Nos.11271205,11371223,11431006 and 11601244;the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.20130031110002;the“131”Talents Program of Tianjin;the Program for Scientific Research Innovation Team in Applied Probability and Statistics of Qufu Normal University under Grant No.0230518
When running an experiment, inhomogeneity of the experimental units may result in poor estimations of treatment effects. Thus, it is desirable to select a good blocked design before running the experiment. Mostly, a s...
关键词:Blocked design general minimum lower order confounding multi block variables Yatesorder. 
CONDITIONS FOR UNIFORMLY NON-CONFOUNDING OF CAUSAL DISTRIBUTION EFFECTS OVER MULTIPLE COVARIATES
《Journal of Systems Science & Complexity》2010年第4期796-803,共8页Xueli WANG School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China. 
supported by the Natural Science Foundation China under Grant Nos. 10801019 and 10726037
Causation is a distinct concept from association and more important than association inepidemiologic studies.This paper proposes the concept of uniform non-confounding for causal distributioneffects over multiple cova...
关键词:Causal distribution effect CONFOUNDING COVARIATES uniform non-confounding 
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