After eliminating the effects vs After removing the effects

Both phrases are correct and can be used interchangeably. They both convey the idea of getting rid of the effects of something. There is no significant difference in meaning between the two phrases.

Last updated: March 21, 2024 • 651 views

This phrase is correct and commonly used in English.

"After eliminating the effects"

This phrase is used to indicate that the effects of something have been removed or eliminated.

Show examples from the web [+]

Dec 8, 2009 ... CONCLUSIONS After eliminating the effects of ICS and smoking, a neutrophilic phenotype could be identified in patients with moderate stable ...
Dec 8, 2009 ... Conclusions After eliminating the effects of ICS and smoking, a neutrophilic phenotype could be identified in patients with moderate stable ...
Conclusions After eliminating the effects of ICS and smoking, a neutrophilic phenotype could be identified in patients with moderate stable asthma. ICS use led ...
transactions with domestic offices, but after eliminating the effects of transactions between foreign offices. For the most part, the income and expense items in ...

Alternatives:

after removing the effects
after getting rid of the effects
after mitigating the effects
after nullifying the effects
after eradicating the effects

This phrase is correct and commonly used in English.

"After removing the effects"

This phrase is used to indicate that the effects of something have been taken away or eliminated.

Show examples from the web [+]

Oct 15, 2015 ... Citation: Liu Y, Pan X, Wang C, Li Y, Shi R (2015) Predicting Soil Salinity with Vis –NIR Spectra after Removing the Effects of Soil Moisture ...
Oct 15, 2015 ... This paper investigated an improved method for predicting soil salinity by using vis—NIR spectra after removing the effects of soil moisture by ...
... of return that accounts for the return period's inflation rate. Inflation-adjusted return reveals the return on an investment after removing the effects of inflation.
Comparing Regression Models. H0: bg+1=…=bk = 0 (After removing the effects of X1,…,Xg, none of other predictors are associated with Y); Ha: H0 is false.

Alternatives:

after eliminating the effects
after getting rid of the effects
after mitigating the effects
after nullifying the effects
after eradicating the effects

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After eliminating the effects vs After removing the effects