"erroneously excluded" is correct and usable in written English.
It can be used to refer to something that has been incorrectly excluded from a given set. For example: "The research team erroneously excluded several key factors from their analysis."
The court found that the judge erroneously excluded evidence that the victim was a member of a gang that advocated killing police officers rather than submitting to arrest.
"We are confident that the jury would have reached a different conclusion had the Court not erroneously excluded the testimony of our warnings expert.
The Fourth District Court of Appeals ruled that the trial judge erroneously excluded Mr. Jensen's testimony about his understanding of the use of state resources for campaigns by other legislators.
Last year, a state appeals court overturned that award, finding that a judge erroneously excluded evidence that Mr. Barnes was a member of a gang that advocated killing police officers.
Note: Based on a data correction, AllianceBernstein was erroneously excluded from Audit Integritys list of America's Most Trustworthy Companies.
Experimental restriction digests of the MaSp1-positive and MaSp2-positive clones matched predicted restriction sites in the final sequences, verifying that assembly had not erroneously excluded repetitive sequence.
Nonetheless, to avoid erroneously excluding highly divergent sequences, the nearest blastp matches to human Set8 were included in our analyses.
Because of the way that atypical information tends to gain undue attention, we believe that the risk we hereby run of erroneously excluding some data that are correct is outweighed by the advantage of excluding a greater number of records that are incorrect.
Therefore, in order to avoid erroneously excluding non-ignorable clustering from the analysis, we suggest that the ICC should be assumed to be non-zero unless there is evidence to the contrary or strong reasons for suspecting it is 0. Determining whether the correlation between patient assignments within clusters is non-zero depends on whether the clustering is pre or post-randomisation.
We might also erroneously have excluded some of the participants because of over-reporting of clinical symptoms used as screening tool for inclusion.
Excellent research may therefore be excluded erroneously from even the best metasynthesis.
