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A software error may produce a spurious result that appears significant, or may mask a significant result.
However, since our measures are of differences, they are likely to include substantial amounts of noise: Measurement error may produce spurious differences.
This inter-individual variation in potential error may produce bias in air pollution epidemiological studies because the relative ranking of individual exposure determines the association between exposure and health outcomes.
Our screening-level assessment suggests that correlated exposure measurement error may produce dramatic changes in PFOA serum estimates yet contribute only modestly to overall uncertainty regarding the epidemiological association between PFOA and preeclampsia.
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When a program encounters a runtime error, it may produce an alert box or simply stop working.
Each sequencing error may create up to k single-copy k-mers, producing a peak around x = 1.
Thus, it is necessary to take sensing uncertainties or the imperfect spectrum sensing information into account since inevitable estimation errors and uncertainties may produce harmful interference to PUs for their communications and make the received signal-to-interference-and-noise ratio (SINR) at SU receiver below the target requirements of SUs.
Compound optimum design criteria which allow pure error degrees of freedom may produce designs that break down when even a single run is missing, if the number of experimental units is small.
Besides, residential outdoor exposure does not measure true individual exposure, and air pollution modeling may produce error in the exposure estimates (Oftedal et al. 2007).
We focus here on the Sieverts technique, which in a poorly designed apparatus may produce errors ∼100% in the quantity of absorbed hydrogen owing to a realistic 25% error in the density of a light-atom sample.
The goal of the test suites introduced in this article is to provide a standardized benchmarking environment for error analysis one that enables us, and others, to lay out a quantitative perspective on a set of errors a CR system may produce.
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CEO of Professional Science Editing for Scientists @ prosciediting.com