Sentence examples for error inconsistency from inspiring English sources

Exact(1)

Potential inter-rater bias and intra-rater error (inconsistency) were accounted for by 'including' it as part of the inter-practice variation in harm rate.

Similar(59)

"In addition, they are riddled with errors, inconsistencies and discrepancies, and many documents do not refer or relate to Tim".

a) The ability to automatically check for errors, inconsistencies, policy and best-practice violations, and omissions.

Based on the experience of the authors as referees of national and international journals in the field of nursing and health sciences, we have identified a total of 10 types or groups, which cover formulation errors, inconsistencies between different parts of the text, lack of structuring, imprecise language, information gaps, and the detection of relevant inaccuracies.

This is to say nothing of copy editors, whose painstaking efforts ensure that when my work finally greets the public, it will contain virtually no grammatical errors, inconsistencies, typos or erroneous information and, what's more, the writing itself will be stylistically air-tight.

Errors, inconsistencies, ambiguous and conflicting information and duplications were corrected or removed.

Data from the completed questionnaire were anonymized and controlled for errors, inconsistencies and internal missing data.

Therefore, the maximum possibility can be used to evaluate consistency and detect errors (inconsistencies between data and models).

In the fingerprint set, samples were excluded based on low sample call rate, sex errors, inconsistencies between duplicate samples, Mendelian errors, and erroneous IBS/IBD relationships.

All aspects of data collection and storage will be carefully monitored to ensure rapid detection of errors, inconsistencies or other problems.

The ontology-based framework we developed can be used to represent, organize and reason over the growing wealth of pharmacogenomic knowledge, as well as to identify errors, inconsistencies and lacking definitions in source data sets or individual patient data.

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