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[3] Separate analyses considered biomarkers as continuous (log transformed to address issue of normality) or as categorical measures.
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Lead measures were modeled as log-transformed variables to address issues of normality.
The combined T-score becomes: While issues of normality and degrees of freedom confound the distribution of T-score, we can simplify our analysis by using the T-score as a ranking statistic to properly order genes for their statistical significance.
For the first case, it is assumed that σi2= f ui),ui are known and nonrandom, f is unknown function, we study the issue of asymptotic normality for two different slope estimators: the least squares estimator and the weighted least squares estimator.
But these hopes for the return of "normality" are likely energy pipe dreams.
23 There is also the issue of 'the burden of normality' in patients who have problems coping with seizure freedom after having had epilepsy for more than half of their lives.
These estimators are robust to issues of non-normality [ 20].
It is a huge event, a celebration of normality.
Though there has been some improvement to its performance [ 7], assumptions of normality and implementation issues continue to stymie practical application of LSA on big datasets.
Finally, we return to a kind of normality.
20 We used a square root transformation of the number of prescriptions issued as the response to satisfy the assumptions of normality.
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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