The phrase "adjustments to remove" is correct and usable in written English.
It can be used when discussing modifications or changes made to eliminate something undesirable or unnecessary.
Example: "The team made several adjustments to remove the errors in the final report."
Alternatives: "modifications to eliminate" or "changes to discard".
Scientists make adjustments to remove known biases in the raw data.
However, this is rather a rule of thumb than a strict cut-off value and it is advisable to use regression adjustments to remove the remaining bias (see the next paragraph; Austin 2009).
She made lyrical adjustments to remove slang commonly used in British English, including the term "taking a piss", to better suit the American Ferreira.
In this study, a modified statistical bias correction method was proposed based on the quantile-quantile adjustment to remove apparent cross-mission TCO biases between the Ozone Monitoring Instrument (OMI) and Ozone Mapping and Profiler Suite (OMPS).
Still, the Commerce Departments definition of profits, which eliminates accounting legerdemain to start with and includes the inventory valuation adjustment and capital consumption adjustment to remove the misleading effects of inflation, has also been robust.
We did not believe there was ever a problem with illegal immigration here in Murrieta". In San Juan Capistrano, which mandated the use of the program for some contractors, officials said the new law would require only a minor adjustment to remove the E-Verify requirement from contracts.
However, if we were to apply this adjustment to remove the effect of cognitive decline, we would be unable to observe a relationship between the predictor variable (AMNART adjusted for cognition) and the outcome variable (cognition) due to circularity issues.
However, after adjustment to remove the contribution of non-pdmH1N1 causes of FRI (Sch-FRI-adj), there were 25 FRI episodes per 100 children in both primary and secondary school-age children, with the ratio of FRI to estimated infections being 0.60 and 0.57 respectively.
The application of an adjustment factor to remove the effect of cold and snow from short-period counts is also included in this study.
