Sentence examples for additional imprecision from inspiring English sources

The phrase "additional imprecision" is correct and usable in written English.
It can be used when discussing the presence of extra inaccuracies or lack of precision in a particular context, such as research, data analysis, or communication.
Example: "The report highlighted additional imprecision in the data collection methods, which could affect the overall results."
Alternatives: "further inaccuracies" or "extra vagueness".

Exact(2)

Additional imprecision may occur from using nonspecific outcome variables that are affected by other factors.

Finally, because some pathogenic phenotypes will be due to genetic variations not yet described or currently considered VUS, estimation of the number of reported IFs will contain additional imprecision.

Similar(58)

Additional file 1: Imprecision, bias and total error criteria according to Ricos-Fraser.

Finally, in observational studies, the interpretation of the observed associations and the changes in the model after addition of additional variables is limited by chance and by imprecision of the measurements.

Additional evidence of this imprecision is the 16.6% relative percent difference of the mean As concentrations from all 71 samples measured by the arsenomolybdate and AgSCSN(CH2CH3 2 methods (Table 2).

This suggests that we will always have to make some allowance for their imprecision, and include additional predictors of ethnicity.

Additional bias is also possible, because imprecision of the exposure assessment is not included.

Additional error could stem from the imprecision associated with recalling specific types and quantities of fish.

However, economic evaluation studies face a major constraint in evaluating the cost-benefit or cost-effectiveness of interventions to reduce the specific health risks of climate change, due to the imprecision in isolating these additional health risks from already present health risks.

These estimated net increases are somewhat higher than the observed increases in 5-year survival in CC and RC during the study period (ie, 7.7% and 7.1%, respectively), likely resulting from imprecision in the prediction model and additional unmeasured influences that had a small net negative impact on 5-year survival during the study period.

It is worth noting that this failure to support minimum-wage effects is not due to an increased imprecision of the estimates induced by the additional trend controls, as the standard errors are actually smaller with the higher-order trend polynomials in three out of four cases.

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