Sentence examples for attrition should be from inspiring English sources

Passive attrition should be capable of suppressing small populations of autoreactive cells, but it comes with the price of accelerated loss of immunity.

Furthermore, our data support the notion that high-risk cohorts may yield fewer seroconversions over time, and that this attrition should be factored into the design of such cohorts.

Therefore attrition should be minimised, and participants who do not attend follow-up should be compared to the included sample in terms of clinical and demographic characteristics.

However, the attrition in the online CBT group was significantly larger than in the F2F group and the ways to address high attrition should be examined in future studies.

He produced an excellent spell towards the end of the third Test, when he throttled back and concentrated on attrition, which should be his forte.

Incentives such as accommodation for health workers at health facilities and salaries enhancement to improve health worker attraction and retention, and reduce the attrition rate should be provided.

56 Particular attention should be paid to patients' weight loss expectation, since higher weight loss expectations are associated with attrition.

In the loss of enamel, toothbrush and toothpaste are always co-factors and the main factor being erosion, abrasion, and attrition should always be diagnosed.

Since these different types of lesion often appear concurrently, they can be difficult to identify; for this reason many researchers think that the specific terms erosion, attrition, abrasion, and abfraction should be abandoned in favour of a more generic term such as noncarious cervical lesions (NCCLs) [ 3].

Also, there was attrition from the panel, and although the multiple imputation procedure minimised attrition bias, attrition reduces power, and this should be recognised as a limit to the ability to generalise to minority groups more likely to drop out of the study.

Both short-term and long-term attrition should therefore be studied to examine whether samples in long-term studies become increasingly biased over time.