Your English writing platform
Discover LudwigExact(2)
The data from in-depth interviews was organized by question and analyzed by identifying consistencies and differences of each responder.
The amplitude of ERK activation of each responder cell decreased inversely with the distance of the cell from the origin of the SPREAD.
Similar(58)
The data were analyzed as means and medians for each criterion, as the average of total scores for each responder, and as sums of means and medians of all respondents to a particular criterion.
These weights were computed by multiplying the inverse of the sampling probability for each responder by the inverse of the response rate in the appropriate state.
The percentage of patients meeting each responder criterion at endpoint was also analysed using a Cochran Mantel–Haenszel test stratified by country and age group.
A federal program provides a lump sum of $151,635 to the family of each "first responder" -- firefighter, police officer, or emergency medical worker -- who died in the catastrophe.
In addition, a federal program provides a lump sum of $151,635 to the family of each "first responder" in a catastrophe, including police officers, firefighters and emergency medical workers.
It presents the values found for one normal subject and one patient of each group (responder and nonresponder).
Fisher's exact test was used to compare the proportion of each allele in responders and non-responders at variant sites.
Although few other conditions gave a substantial difference in suppression between the two responder T cell subsets as well, the chosen conditions were considered optimal as both responder T cell subsets show the most consistent suppression results with the lowest s.e.m. amongst the 18 different treatments for each of the responder T cell subsets.
Patient level data allowed the estimation of mean ACR response within each of the responder groups.
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