It is correct and usable in written English.
You can use it to describe situations where potential mistakes or difficulties can arise. For example: Errors can arise from insufficiently tested software updates.
Systematic errors can arise from unmeasured confounders, selection bias and information bias.
Despite the growing sophistication of building modeling tools, errors can arise from approximations that are made by a practitioner during model creation.
For instance, errors can arise from incorrect identification of the limits of the tephra unit or from failure to measure thickness normal to base contact.
Errors can arise from missing clinical information (missing lab results) and/or suboptimal recording of contacts within an episode of care [ 13].
Errors can arise from assuming independence of 'independent' indicators of social and economic circumstances such as income, marital status, or social connection.
If you are sorting text, errors can arise from leading spaces or bad formatting.
Additional error can arise from question wording effects (if/how are "someone else", "don't know" or "not voting" options offered to the respondent?), question order effects, or even social-desirability effects (respondents giving responses that they think are "expected" of them).
This error can arise from several sources, including residual confounding, recall bias, and exposure misclassification.
Another source of error can arise from the fact that exposure to POPs through the ingestion of contaminated breast milk was limited to the exclusive breast-feeding period.
Finally, and importantly, error can arise from misreporting features of non-probed items that were presented in the memory array, instead of reporting the features that belonged to the probed item.
The Treasury Inspector General for Tax Administration, which monitors the IRS, said that data errors can arise when the IRS moves information from multiple systems into one registry for whistleblower claims.
