Sentence examples for a total attrition from inspiring English sources

Assuming a total attrition rate of 10% (at equal rate across time and condition), a similar power calculation estimated sample size to be approximately 51 (51.3) participants per condition.

The attrition rate was 50% (10/20) on the low-carbohydrate and 32% (6/19) on the high-carbohydrate (figure 1) diets, this equates to a total attrition rate of 41% (16/39).

In addition, we computed the share of total attrition at a health facility that was due to resignation, retirement or death, and compared the distribution of attrition reasons across types of health facilities and health worker cadres.

Thus for a study with 2 groups and 4 assessment points, power set at 0.80, statistical significance set at α = .05 (two tailed), total attrition set at 21%, an effect size set at 0.35 SD, and an expected primary endpoint standard deviation of 4.0 at each time point [ 43], 94 participants per group are required, summing to a total sample of 188 participants.

We assume 68% of total attrition is involuntary and 32% is voluntary based on a Ministry of Health survey [ 26].

An attrition rate model that combines the jet attrition and bubble-induced attrition is derived and confirmed to represent the measured total attrition rate versus the superficial gas velocity.

It is also predicted, however, that the total attrition rate decreases on vessel scale-up at constant power input, with an increasing proportion of fine particles being due to turbulence, arising from the independence of turbulent forces of the vessel scale and a decrease in the corresponding collisional impact forces.

Total attrition from pretest to post-test was 31%.

However, we found no significant difference in total attrition between treatment groups, and total attrition was not significantly related to baseline characteristics.

After 12 months on ART, loss to follow-up and mortality contribute equally to the total attrition rates in Thyolo.

The total attrition rates (men and women combined) in table 2 were applied to younger psychiatrists to project their attrition from the workforce from 2000 to 2025.