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Discover LudwigThe phrase "attrition scenario" is correct and usable in written English.
It can be used in contexts discussing situations involving the gradual reduction of a workforce or resources, often in business or military settings.
Example: "In the attrition scenario we outlined, we expect to lose a significant number of employees over the next year due to retirements and voluntary departures."
Alternatives: "attrition situation" or "attrition context".
Exact(1)
We used these fractions to project an attrition scenario among the nursing workforce.
Similar(59)
The performance of multiple imputation was compared with that of the Kaplan-Meier approach by simulating several attrition scenarios.
We compared the performance of multiple imputation with that of Kaplan-Meier estimation in several simulated attrition scenarios.
As a mid-range scenario, decreasing attrition by five percentage points for doctors could change the necessary training enrolment increase from thirteen times to ten times current levels.
However, as for other modelling choices (central population growth scenario, higher attrition rate before retirement and unbound service utilization trend lines to 2030), we have allowed for physician demand to expand, rejecting any status quo supply assumption.
Scenarios where attrition is dependent on unobserved variables can be simulated by generating data sets where attrition is dependent on variables with missing values.
"The worst possible scenario for this war of attrition to continue would be for Rudd to get a very good challenge, possibly in the high 30s," he said, referring to the number of votes.
Sensitivity analysis with a worst case scenario suggests that the risk of bias from attrition is probably low.
These staff shortages resulted from migration, a long freeze on civil service employment, and a high rate of attrition due to the impact of AIDS and poor working conditions – a common scenario.
The worse-case scenario in terms of precision, given a rate of 50% (maximum variance) and a 20% attrition, would require 300 participants to achieve a precision of ±6% around the estimate (for example, 95% CI = 44 to 56).
Attrition dropped.
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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