Sentence examples for error that may lead from inspiring English sources

Exact(1)

Ignoring the spatial variability in pollution therefore introduces a measurement error that may lead to regression dilution [ 12].

Similar(59)

Inefficient drilling can be a source of avoidable medical errors that may lead to adverse events.

The present study highlights rule, and possible coding, errors that may lead to misclassifications.

So HMS will look for that and it also looks for errors that may lead to the Medicaid plan paying more than it would otherwise need to.

Rigorous training is needed to assure competency amongst CUS providers, to reduce operator errors that may lead to patient adverse events.

When an appropriate pattern recognition algorithm is used, MRF also provides a new and more robust behaviour in the presence of noise or other acquisition errors that may lead to the near complete suppression of deleterious effects stemming from these factors.

Although pathogen identification may be regarded as a secondary feature of the test as it provides information of limited clinical relevance, particular attention should be given to avoid certain errors that may lead to inappropriate antimicrobial choice.

There are important problems with statistical analyses, which should be addressed by having a statistical analysis plan in the protocol and by a greater appreciation of the potential for type I and II errors that may lead to inappropriate conclusions (recommendation 13 in supplementary table).

23 Transition points between primary and secondary care were highlighted as sites where there is an increased risk of errors, or circumstances that may lead to errors later in the care pathway.

Other than the level, category and error code, the report involves an explanation of the error, common possible reasons that may lead to it and the list of cases with links (URIs) to the problematic model elements.

Therefore any technique prone to degrees of measurement error can produce ambiguous results that may lead to spurious associations with complex disease.

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