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Sobel, M.E., Madigan, D. and Wang, W., (2016), "Causal Inference for Meta- Analysis and Multi-Level Data Structures, with Application to Randomized Studies of Vioxx," Psychometrika, in press.
The computational cost by the Greedy method, the multi-level data reduction method and the developed method, are theoretically compared.
Our filter visualization also supports the visualization of attribute value hierarchies enabling multi-level data distribution overviews to be given.
These findings represent new insights into the transition process on the nanoscale and suggest that tin substituted PCMs may represent promising candidates for multi-level data storage applications.
To achieve the best performance, a cloud-based architecture is proposed with on-demand dynamic allocation of resources and a multi-level data flow with caching capabilities.
The results show that the developed mesh-deformation method has a better efficiency than the Greedy method and the multi-level data reduction method, especially for test cases with complex deflection fields.
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To gain better insight on organizational factors influencing health care quality, it has been suggested that studies should preferably focus on factors on different levels (e.g. organizational as well as team), include patient outcomes and use multi level data analyses to correct for clustering effects [ 38].
To build our multi-level spatial data set, we integrated five data sources: (1) 2001 California Health Interview Survey CHISS) data, (2) 2001 Food and Drug Administration FDAA) certified mammography facility data, (3) 2003 LA Transit Authority data, (4) 2000 US Decennial Census data, and (5) 2001 Community Tracking Study CTSS) Physician's Survey data.
This is a very well written report on a very important topic of very high impact in the actual of omics and multi-level omics data, allowing beyond sheer analysis (which in large data sets is very demanding indeed in terms of runtime and memory) many more questions answered also for methods research.
In the post-genomics era, there is an explosion of biological data and information generated from high-throughput technologies which have rapidly provided an unprecedented multi-level omics data [ 7].
Different methods for the field-scale estimation of contaminant mass discharge in groundwater at control planes based on multi-level well data are numerically analysed for the expected estimation error.
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