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As discussed before, these probabilities are merely used to how BNs can be used in cases where probabilities can be assigned based on more robust empirical grounds.
So, they become useless in many situations, because they are derived from already available benchmarks based on more robust methods, which will be applied in practice.
However, because of the inherent phylogenetic limitations of these tools, final strain assignment to specific strain lineages should be based on more robust markers such as SNPs or LSPs.
It seems therefore intuitive that alternative approaches based on more robust biophysical methods for the detection of ligand binding are likely to be more successful than spectrophotometric HTS approaches, especially when targeting PPIs.
Our intent is to contrast these approaches with macroergonomics, HSI and the concept of safety climate which, as exemplars of the sociotechnical systems approach, we argue are based on more robust assumptions about the factors impacting contemporary workplace safety.
Early and correct identification of sLI patients at high risk of death allows the application of different treatment strategies and facilitates the design of clinical trials based on more robust criteria, issues previously identified as important for future research [ 8].
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As a compromise, we consider another interesting reformulation based on more conservative robust SINR constraints compared to those in (19).
Rather, they suggest that such indicators should be based on more balanced conceptual frameworks and robust methodological choices.
This comparison is statistically robust; it was based on more than 8700 deaths within the first 6months in the UK, and more than 3800 in the other countries.
A publication date before 1970 so as to favor newer source trees based on more comprehensive data sets and analyzed using robust phylogenetic algorithms.
When a single heritability estimate based on a more robust sampling of data was used to estimate realized accuracies, results became more stable in the analyses using smaller subsets of the data [See Additional file 2: Figure S1B] and assessments of DGV accuracy could then be based solely on the estimated correlation between phenotype and predicted DGV within the validation set.
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