Sentence examples for potential inaccuracies from inspiring English sources

"potential inaccuracies" is a correct and usable phrase in written English.
You can use it whenever you want to mention potential errors, mistakes, or incorrect information in a sentence or text. Example: "The results of this study should be reviewed carefully, as there may be potential inaccuracies due to the small sample size."

Exact(60)

Considerations for future validations together with discussion on some current issues and potential inaccuracies are presented.

In addition to potential inaccuracies, Mr. Norris said false results might also be caused by improper execution of the tests.

Leveson says he understands the point that the internet means that potential inaccuracies are available to be repeated for a much longer period of time.

The six-year-old company also revised its prospectus to potential investors after observers pointed out potential inaccuracies with its user figures.

(2) Although potential inaccuracies remain, transmission oximetry may offer potential advantages in consistency, ease of application, and technology with respect to the current reflection oximeter devices.

Cost simulation results total billions of dollars annually and may be irrespective of potential inaccuracies in the GAO data as a result of Current Procedural Terminology coding ambiguity and nontransparent reporting of equipment ownership.

The findings of this study strongly suggest that bimrocks should be treated as heterogeneous materials, in order to avoid potential inaccuracies caused by neglecting the presence of blocks at the design stage.

Complete quantification of these equilibria facilitates delineation of the limits of applicability of the linear partitioning assumption, and assessment of potential inaccuracies associated with measurement of partition coefficients at a single concentration.

A number of different periodontal prognosis systems have been previously proposed but do not consider important patient-level factors, such as smoking and diabetic control, in the calculation of the expected outcome and often use subjective measures that introduce potential inaccuracies.

Attempts to replicate and extend these findings reveal serious shortcomings in the NHANES III data that center around missing data, odd distributions of blood lead levels as well as cognitive and academic scores, and potential inaccuracies in the data collection itself.

Our spectrum sensing scheme relaxes the constraints on the spectrum sensing hardware and counters potential inaccuracies via the following two ideas.

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