Your English writing platform
Discover LudwigExact(3)
The factors that did influence the relationship were gender, defect type and heart size.
To determine whether improvements were related to age, gender, defect size, defect location, the number of vials of chondrocyte used for implantation or the time interval between cartilage harvesting and ACI, we used the Mann-Whitney U test, Kruskal Wallis test, and Spearman's rho.
Improvements in tKSS-A and B scores were not found to be related to age, gender, defect size, defect location, the number of vials of chondrocyte used for implantation or the time interval between cartilage harvesting and ACI. 1) Statistical significance was tested using the Mann-Whitney test in each group.
Similar(57)
For this reason the factors gender, BMI, defect type, heart size and stressor type were used to create subgroups within the population.
Out of the 98 items collected, a group of experts selected those items that reflect the performance of the individual units as opposed to items that cannot be modulated (such as gender, birth defects, socio-economic status, etc).
These results rule out the presence of gender-dependent defects in DBA patients.
Moreover, sepsis results from various causative etiologies, and susceptibility is influenced by premorbid factors, including ethnicity, gender, age, genetic defects and environmental factors.
The study parameters included driver's age, gender, licensing state, physical defect, blood alcohol concentration, vehicle use, seatbelt compliance, day and time of crash, roadway lighting, facility type, weather conditions, road geometrics, and traffic volumes.
Previous studies suggested that factors such as age, gender, BMI, lesion or defect size, or stage of the medical condition could be important in modulating the benefit of stem cell therapies [42 45].
Logistic and linear regression models were used to assess the association and/or confounding effect of clinical and radiographic variables such as biopsy defect size, gender and steroids.
Outcomes investigated using logistic regression included PGP, severe PGP, high blood pressure-no prior history, proteinuria, preeclampsia, gestational diabetes-no prior history, emergency caesarean delivery, birth type, preterm births (<37 weeks), Apgar scores after 5 min, low birth weight (<2500 g), SGA, birth defects, and gender of infant in relation to group (SF, NP, NVP).
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