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This is a standard statistical test for categorical data comparison, which evaluates the difference between the numbers of observations (evaluations) in groups of data points (categories).
This is achieved by grading each block with a score that evaluates the difference between the maximal 5 values of the block and the block average values, normalized by the standard deviation.
The maximum delta (Δ max) evaluates the difference between the lowest and the highest value of each variable from the beginning of mechanical ventilation, that is D1, till D6 in VAP patients and non-infected controls.
However, if I contains at least two elements, it retrieves the pairs (q a,i d[a]) and (q b,i d[b]) which have the highest similarity over I and evaluates the difference between them (i.e., s i m(q a,P id[a] )−s i m(q b,P id[b] )).
The CLD method is a covariance-based approach, which evaluates the difference between block interactions across case-control status.
Thus f2 evaluates the difference between a given power-law distribution and the distribution of sizes of clusters in a partition.
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A hardness study evaluates the differences between the fillet and the aluminium plates.
The averaged Kullback Leibler divergence (KLD), rooted from information theory-based clustering, evaluates the differences between two probability distributions.
An independent sample t-test was conducted to evaluate the difference between the two groups.
To really evaluate the difference between the two communication methods, a new research is needed.
Then, nonlinearity can be quantified by evaluating the difference between linear and nonlinear models.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com