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A descriptive multilevel analysis associating COVID-19 with polymyositis: from genetic markers and candidate mediators to clinical hematological profiles. [PDF]
Front Med (Lausanne)Chen M, Li H, Tong X, Zhang X.
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Introduction - Multilevel Analysis
Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique, 1996The authors of this article, who are also the guest editors for this issue on multilevel analysis, give an overview and brief history of multilevel analysis and present the following four research articles. Multilevel Analysis - Overview. Methods. History.
van den Eeden, P., Hox, J.J.C.M.
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ACM Transactions on Embedded Computing Systems, 2015
Phase analysis, which classifies the set of execution intervals with similar execution behavior and resource requirements, has been widely used in a variety of systems, including dynamic cache reconfiguration, prefetching, race detection, and sampling simulation.
Weihua Zhang +3 more
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Phase analysis, which classifies the set of execution intervals with similar execution behavior and resource requirements, has been widely used in a variety of systems, including dynamic cache reconfiguration, prefetching, race detection, and sampling simulation.
Weihua Zhang +3 more
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Multilevel Functional Clustering Analysis
Biometrics, 2012Summary In this article, we investigate clustering methods for multilevel functional data, which consist of repeated random functions observed for a large number of units (e.g., genes) at multiple subunits (e.g., bacteria types). To describe the within‐ and between variability induced by the hierarchical structure in the data, we take a multilevel ...
Serban, Nicoleta, Jiang, Huijing
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A Multilevel Analysis of the Unemployment in Egypt [PDF]
SSRN Electronic Journal, 2015 AbstractDespite its recent economic development, Egypt's employment inequalities among gender and different age cohorts are still an unresolved issue. In this work we apply a Multilevel Generalized Linear Mixed Model to the Egyptian Labor Market Panel Survey 2006 (ELMPS 2006) and 2012 (ELMPS 2012). By exploiting the hierarchical structure of the survey
Bertoni, Eleonora, RICCHIUTI, GIORGIO
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A Multilevel Intelligent Assistant for Multilevel Social Network Analysis
2020 IEEE 10th International Conference on Intelligent Systems (IS), 2020In recent years, social network data analysis is an emerging field. Multilevel social network analysis could help researchers to figure out comprehensive influencing factors. But the raw data extracted from life is complicated and inoperable so that the entire analysis process is multi-step and changeable. The characteristics of social network datasets
Tianxing Man +2 more
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