Sentence examples for misclassification would result from inspiring English sources

This apparent misclassification would result in falsely low RT-PCR specificity and overestimated culture and Gram stain sensitivities.

In addition, because our arsenic measurements were blinded to case status, exposure misclassification would result in attenuated estimates.

This misclassification would result in false-negative values, reducing the sensitivity of the monitor data for identifying event-days.

Nondifferential misclassification would result in an unpredictable bias for associations with low PCE exposure, but would underestimate associations with high PCE exposure (Rothman et al. 2008).

Such misclassification would result if the inclusion of outpatient diagnoses increases the recorded comorbidity in the NRP and the measured comorbidity burden over time.

However, any misclassification would result in a dilution of the difference between the treated and untreated groups, and hence any reported estimates of treatment effects would be conservative.

Regardless, potential misclassifications would result in an underestimation of the true risk reported here.

This extrapolation could introduce misclassification due to errors in traffic flow rates and tailpipe emission rates, but might introduce less misclassification than would result from relying on an early surrogate.

This kind of misclassification error would result in underestimation of the effect if the association between type 2 diabetes and pancreatic cancer exists, indicating that the true effect would be stronger, a lesser threat to the validity of our finding.

A limitation of the analysis presented here is that the definition for acute pancreatitis outcomes may not meet clinical criteria (i.e. misclassification), which would result in the inclusion of false positives that may obscure a potential association.

The lack of information about these factors may have led to non-differential exposure misclassification, which would result in an underestimation of the risk associated with traffic-related air pollution.