Sentence examples for misclassification resulting in from inspiring English sources

These sources for exposure misclassification are nondifferential, and we assume that exposure misclassification resulting in bias toward the null may have potentially occurred in this study.

Yet, classifying oneself as either exceptionally talented or not, may not be that prone to misclassification, resulting in a relatively reliable dichotomous measure of talent.

Inaccurate coding of cause of deaths is expected to be unrelated to exposure and would therefore create non-differential outcome misclassification resulting in an underestimation of any outcome-exposure association, if such an association is present.

Issues of measurement error associated with assessing usual dietary intake in large epidemiologic studies are also a concern but it will most likely be non-differential misclassification resulting in an underestimation of the true association.

This might lead to a misclassification resulting in some of the patients with probably the highest doses of antidopaminergic drugs (being inpatient treated) being classified as not having been exposed to antidopaminergic drugs.

This implies that in statistical analyses in which only a single urine sample is available to categorize a subject's 3-month exposure to MEHP, there is likely exposure measure misclassification resulting in bias toward the null hypothesis for exposure response relationships.

Correcting for potential outcome misclassification resulted in an increase in the point estimate of 9.8% (see supplementary table S3).

Importantly, approximately nondifferential misclassification resulted in an OR adjusted for misclassification that was less than the crude (Table 2, scenario 9).

The OR adjusted for misclassification resulted in a wide range of values, assuming the OR adjusted for misclassification is the true value, our assumptions are correct, and no other systematic errors exist.

Associations may have been underestimated because of nondifferential misclassification resulting from limitations in exposure measurement.

DOL has emphasized that misclassification results in billions of dollars in lost revenues each year in the form of unpaid payroll taxes, Social Security and Medicare taxes, unemployment and workers' compensation taxes, among others.