Exact(1)
Current literature has demonstrated the effectiveness of various techniques of lumbar fusion; however, comparative data of these techniques are limited.
Similar(59)
The combination of data from these techniques suggested that electrical brain activity at the latency of the N170 is highly represented in fMRI statistical maps.
Because the focus of SDDV is on broadcasted data dissemination, these techniques are of less relevance to our solution.
In trying to understand the nature and progression of single, large-scale mitochondrial DNA deletion disease, where there is intercorrelation between the predictive factors, these techniques are required to correctly identify significant findings; indeed, the reanalysis of previously reported data using these techniques has clarified previous uncertainties.
Although multi-gene datasets can be much larger than ours, it represents both a real biological problem and serves as an illustration of the types of data upon which these techniques can be used.
Multivariate statistical techniques, such as factor analysis or principal component analysis, provide more insight into the underlying structure of a data set, the use of these techniques might require further analyses to identify distinct groups.
Multivariate statistical techniques, such as FA or principal component analysis (PCA), provide more insight into the underlying structure of a data set, the use of these techniques might require further analyses to identify distinct groups (Belkhiri and Mouni 2012).
So it is encouraging that the biologic techniques for re-growing and rebuilding are advancing and that the long-term data supporting the first of these techniques is now available.
There is a lack of high quality data on the effectiveness of these techniques in other behaviour problems such as wandering.
Their data suggest that none of these techniques has an advantage over the others in terms of survival.
Also, there is a paucity of reported data on the use of these techniques when treating acute fractures.
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