Your English writing platform
Discover LudwigSuggestions(1)
Exact(8)
At baseline, age, gender, hand dominance, and education level were recorded.
For gender, hand preference, and smoking status, χ²-tests were computed to test for a different distribution between groups.
The ANOVA model incorporated hierarchical segmentation scheme and hemisphere as within-subject variables and age, gender, hand dominance and eye dominance as between-subject variables.
These tests revealed no significant main effects or interactions (all effects p > .05) of any between-subject variables, namely age, gender, hand dominance or eye dominance.
Model results are presented as OR adjusted for potential confounding by age, gender, hand joint, hand side and the number of affected IPJ.
Limited de-identified demographic data (age, gender, hand dominance, residential status) will also be collected on patients who choose not to participate, or are ineligible to participate due to inability to consent.
Similar(52)
Gender, dominant hand, and hand size are presented as number.
Our data also demonstrate that the LICK learning curve is not significantly affected by confounding variables such as age, gender, dominant hand side, hand size, interest in surgery, and interest in video games.
When the effect of the different variables (age, gender, dominant hand side, hand size, interest in surgery, experience in video game, and training group) upon the learning process (evaluated with the learning constant K) was computed, only the training group was shown to be significant (p = .0005).0005
In the first session, participants filled in a questionnaire reporting age, gender, dominant hand side, hands' size according to the gloves' size (small 6.0 6.5, medium 7.0 7.5, large 8.0 8.5), interest in surgery, and experience in video games according to a visual analogue scale from 0 (no) to 10 (a lot).
There was a curvilinear relationship of grip strength to age, significant differences between genders, hands, and some age-groups, and a correlation to height, body-mass, BMI and hand dimensions depending on the gender.
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