Your English writing platform
Discover LudwigExact(60)
Results: Prevalence rates for each symptom were: dryness, 27.0%; irritation or itching, 18.6%; discharge, 11.1%; and dysuria, 5.2%.
Tick one box for each symptom.
Finally, the average severity, frequency, and impact rating for each symptom descriptor and domain were calculated.
We then examined the ranking scores for each symptom by age group (expressing this as a weighted %).
RESULTS: A linear relation was identified between the number of self-reported inattentive and hyperactive/impulsive symptoms and smoking outcome measures (P<.001 for each symptom domain).
Time to resolution: The time to symptom resolution (expressed in days) was established for each symptom on the basis of the recordings made in the patient diaries.
Next, multidimensional scaling of the similarity matrix was performed to generate co-ordinates for each symptom descriptor, where the proximity of descriptors indicates their similarity to each other.
Tables 3 and 4 present symptoms (Table 3) and signs (Table 4) most frequently reported by participants with key quotes for each symptom or sign.
We observe that the sign and magnitude of correlation vary for each symptom sub-topic, along with which of the specific phones show significance in their correlation value.
For each symptom it gives examples.
At the same time for each symptom there are different treatment options.
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