Your English writing platform
Discover LudwigSuggestions(1)
Exact(12)
These variables were demonstrated to be correlated (Table 3).
No statistically significant differences between treatment groups in any primary or secondary efficacy variables were demonstrated in any trial.
Statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) version 13.0 (SPSS Inc., Chicago, IL., U.S.A, 2005) The data of categorical variables were demonstrated as counts and percentages.
A central composite design (CCD) coupled with response surface methodology (RS M was employed to obtain the optimum process conditions and the interactions between process variables were demonstrated and elucidated.
16 The values of continuous variables were demonstrated as mean ± standard deviation.
Significant relations to other variables were demonstrated, especially attitudes towards research use.
Similar(48)
Outcomes variables are demonstrated in Table 4.
The relationship between the response and independent variables was demonstrated using a response surface plot.
First, the use of finite-state automata extended with variables is demonstrated.
The independence of time consumption for the developed adjoint sensitivity analysis method to the number of optimized variables is demonstrated.
n = number, % = percentage, df = degree of freedom, Pearson Chi-squared = χ 2. The crude association between CRS and the independent variables race and sex, as well as other study variables is demonstrated in Table 3.
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