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Ten patients were to be enrolled to each dose level.
To acheive 80percentt or higher power to detect the difference between the two treatments, it was estimated that 228 stage 3 4 CKD patients were needed to be enrolled to each group [ 12].
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Thirty-two patients were enrolled to the study.
Right now, not enough young people are enrolled to vote.
And all went to be enrolled, each to his own city.
Three patients were subsequently enrolled to each fixed-dose cohort, with planned dose levels of 60, 90 and 120 mg per day.
Nearly 30,000 patients would have to be enrolled in each group to achieve a statistical power of 90%.
Using this estimate, we calculated that 200 patients (allowing for 10% loss to follow-up) would need to be enrolled in each treatment arm to detect a 15% risk difference between the treatment groups with a two-sided type I error of 0.05 and 80% power.
This provided us with the number of elders to be enrolled from each village, proportional to the village size.
If pneumococcal bacteraemia (0.53/1000/year) were the outcome to be measured, 55 600 people would need to be enrolled in each group.
Assuming a dropout rate of 20%, 85 patients were to be enrolled in each of the 4 treatment groups; thus, a total of at least 340 patients were to be enrolled.
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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