Your English writing platform
Discover LudwigSuggestions(1)
Exact(10)
The data were transformed using the variance stabilization transformation (VST) [37] and normalized using the robust spline normalization (RSN) [36].
Due to non-normal distributions and in order to test for significance, the data were transformed using the square-root transformation to normalize the distribution.
If the counts were small (<10), tended toward a Poisson distribution and did not satisfy normality, the data were transformed using the square root transformation, and ANOVAs were performed on transformed data [ 31].
In order to achieve normality the data were transformed using the natural logarithm (ln) transformation.
For statistical analysis, the results were expressed as a proportion and the data were transformed using Arc Sine.
The data were transformed using the weighted least squares method.
Similar(50)
In a next step, the data was transformed using either log2-transformation (log) or variance-stabilizing transformation (vst) [ 9].
As such, the data was transformed using a log10 + 1 transformation, which yielded a normal distribution.
The data are transformed using modeling techniques and the resulting uncertainty is quantified through sensitivity analyses before making a recommendation regarding reimbursement.
In the second study, the raw data were transformed using van der Waerden quantile normal scores.
The raw data were transformed using a logistic transformation (transformed utility=log ((1-utility)/utility)).
Write better and faster with AI suggestions while staying true to your unique style.
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